Multiple Regression Formula Research Articles

Pengaruh Konsumsi Rumah Tangga, Pengeluaran Pemerintah Dan Pendapatan Perkapita Terhadap Pertumbuhn Ekonomi Provinsi Jambi

This study aims to see how the influence of household consumption, government spending and per capita income on economic growth in Jambi province, after doing research using the multiple linear regression formula, the answer was found that partially only household consumption expenditure variables have a significant effect on increasing economic growth of Jambi Province. While the rest have no significant effect. However, together the variables of household consumption expenditure, government expenditure and per capita income have a significant effect on the economic growth of Jambi Province with an R-square value of 99.50 percent during the 2010-2020 period.

The Significance of Students' Perception and Participation on Reading Comprehension at IAIN Padangsidimpuan

This article aimed to find out the influence of students’ perception and participation of Tadris English Department students toward Reading Comprehension learning during the Covid-19 Era at IAIN Padangsidimpuan. The data were collected through students’ perception questionnaires, students' participation questionnaires, and reading comprehension tests. This research was correlational research design using a quantitative method. The subject of the research was the students’ 2nd year English department programs at IAIN Padangsidimpuan. The research sample was taken by using Total population sampling. 65 students have been used as samples in this research. Simple linear regression and multiple regression formula were used to analyze the data. The research findings showed that first, there was a significant influence on students’ perception and their Students’ Reading Comprehension with a score (0.000 0.05). Second, there was a significant influence on students’ participation and reading comprehension with scores (0.000 0.05). Third, there was a significant influence between perception and participation on students reading comprehension with a score (0.000 0.05) at IAIN Padangsidimpuan

PENGARUH KONSUMSI RUMAH TANGGA, PENGELUARAN PEMERINTAH, DAN PENDAPATAN PERKAPITA TERHADAP PERTUMBUHAN EKONOMI PROVINSI JAMBI

This study aims to see how the influence of household consumption, government spending and per capita income on economic growth in Jambi province, after doing research using the multiple linear regression formula, the answer was found that partially only household consumption expenditure variables have a significant effect on increasing economic growth of Jambi Province. While the rest have no significant effect. However, together the variables of household consumption expenditure, government expenditure and per capita income have a significant effect on the economic growth of Jambi Province with an R-square value of 99.50 percent during the 2010-2020 period.

Effects of ambient temperature step changes on the heat storage and release in thermal protective clothing

Ambient temperature steps between typical non-work and hot work environments will lead to clothing heat storage and release, which is crucial for human health and thermal comfort. In this study, the influence of five types of ambient temperature steps (from 0ºC/5ºC/10ºC/15ºC/20ºC to 40ºC to 0ºC/5ºC/10ºC/15ºC/20ºC) on the heat storage and release in clothing was investigated using a thermal manikin. A moving and temperature-controlled refrigerated incubator was constructed to realize the temperature step conditions. Results showed that ambient temperature step magnitude was positively related to heat storage and release. Some 80% of the amount of heat storage would be completed in around 10 min after the temperature steps. Increasing the inner clothing layer weight and specific heat capacity for local clothing at the chest, thigh and calf improved their heat storage against the large temperature step conditions. As for the abdomen, its heat storage was the largest. However, the clothing layer configuration impacted its heat release, so it was necessary to guide the heat transfer to the skin. The heat storage in the outer layer was increased by 2% to 39% due to adding the inner layer of the garment. The stored heat discharged completely until the temperature step magnitude exceeded 32.5°C. A multiple linear regression formula was proposed to obtain the clothing average heat storage by considering ambient temperature step magnitude and clothing insulation. The results of this study could contribute to the optimization of thermal protective clothing and improvement of the research on human thermal comfort.

Pengaruh Bimbingan Orang Tua melalui Aktivitas Belajar dan Motivasi terhadap Hasil Belajar Siswa

The problem in this research was the low mathematics learning outcomes of grade V SD Kecamatan Labuhan Ratu. This research aimed to 1) analyze the effect of parental guidance on students mathematics learning outcomes, 2) analyze the effect of learning motivation on students mathematics learning outcomes, and 3) analyze the effect of parental guidance and learning motivation on students mathematics learning outcomes. The data in this research was analy by using quantitative research. This type of this research was ex post facto. The population of this research was 502 students and the total sample was 84 students which waswereken from SD Negeri 2 Labuhan Ratu dan SD Negeri 2 Sepang Jaya. The sampling technique in this research was cluster sampling which was part of the probability sampling technique. Questionnaire and documentation were used as data colletechniqueshnique. Data analysis used a simple linear regression and multiple linear regression formulas. The results showed that there was a significant effect between parental guidance to learn mathematics which was indicated by tFountunt ≥ Ftable (4,55 ≥ 3,95); there was a significant effect between motivation to learn mathematics which was indicated by the Fcount ≥ Ftable (5,90 ≥ 3,95); there was a significant effect between parental guidance and motivation to learn mathematics in grade V SD Kecamatan Labuhan Ratu, which was indicated by the Fcount ≥ Ftable (4.04≥ 3.10).

Pengaruh Motivasi dan Intensitas Belajar di Rumah terhadap Prestasi Belajar Aqidah Akhlak

The purpose of this study was to determine: (1) learning motivation Aqidah Akhlak MI students Miftahul Ulum Tunahan 03 (2) Knowing the intensity of learning at home in the Aqeedah Akhlak subjects MI Miftahul Ulum Tunahan 03 students (3) learning achievement Aqidah Akhlak subjects MI Miftahul Ulum Tunahan 03 students (4) the influence of motivation and intensity of learning at home on learning achievement Aqidah Akhlak MI Miftahul Ulum Tunahan 03 students. Data collection techniques use: observation to collect learning motivation data, questionnaires for data on learning intensity at home and tests to collect learning achievement data Aqidah Akhlak. The population of MI Miftahul Ulum Tunahan students is 2018/2019 academic year, amounting to 104 people, because the population is widely sampled classically in class IV and V students, amounting to 25 people. Statistical analysis using multiple regression formulas. The results show that simultaneously there is a significant positive effect of learning motivation and intensity of learning at home on learning achievement Aqidah Akhlak MI Miftahul Ulum Tunahan 03 students. Based on statistical analysis with multiple regression formulas showed a significance level of 5% or 1%. Where the magnitude of Freg is 11.13 then compared with Ftable with df = 2: 22, for a significance level of 1% = 5.72 and for a significance level of 5% = 3.44. So Freg> F table. Stelain was also found to be determined by 58%, which means that motivation and intensity of learning at home had a positive effect of approximately 58% on Aqidah Akhlak learning achievement.

Age Assessment in Children and Adolescents by Measuring the Open Apices in Teeth: A New Sardinian Formula.

Age estimation in children is fundamental in both clinical and forensic fields. The aim of this study was to evaluate the accuracy of the Cameriere’s European and Italian formulae for age estimation in Sardinian children and adolescents, a genetically isolated population. A sample of 202 orthopantomograms of healthy Sardinian children and adolescents (100 females and 102 males) aged between 6 and 17 years was retrospectively evaluated. The seven left mandibular teeth were assessed with the Cameriere’s European and Italian formulae. The teeth with closed apex (N0) were counted and, in the teeth with open apex, the distance between the inner sides was calculated. All variables showed a significant and negative correlation with age except N0 and g. Sex (g), the variables s, N0, and the first-order interaction between them, contributed substantially to the age measurement (p < 0.001). Although the value of x5 had a low prediction level, it generated the following multiple linear regression formula, specific for the Sardinian sample: Age = 10.372 + 0.469 g + 0.810 N0 − 1.079 s − 0.398 s ∙ N0 − 0.326 × 5. Only the Sardinian and European formulae allowed to obtain an acceptable interclass agreement (both the lower and upper >0.7). The results showed that the European formula could be accurate for assessing age in this sample of children and adolescents.

Innovative Research on Intelligent Enterprise Management Mode under the Background of Smart City

The widespread application of Internet of Things technology, new broadband mobile networks, cloudy computing, and other new information technologies on the Internet has promoted the development of “smart cities.” The essence of the “smart city” is to make full use of advanced information technology to realize the intelligent management and operation of the city, thereby creating a better life for the urban people and realizing the harmonious and sustainable development of the city. This article is aimed at studying the innovation of intelligent enterprise management models in the context of smart cities. This article first analyzes and briefly describes the theoretical knowledge of the “smart city” and the current domestic development, then proposes the technology of data warehouses, and finally uses the multiple linear regression formula for analysis. The experimental results of this paper show that in the context of smart cities, the intelligent management model of enterprises has played an important role in the development of enterprises, which is 51.7% faster than the traditional model, and the accuracy is as high as 92.3%.

Estimating Height and Body Weight Using Foot Measurements

Objective: Determining the height and weight of the person is the most important factor in forensic cases in which the body integrity is impaired including natural disasters, traffic accidents, wars, murders and decomposition of the body. In this study, it was aimed to obtain linear and multiple regression models and formulas for determining height and weight from foot measurements.Methods: The relationship between foot measurements and the height and weight of 180 adult individuals (90 males, 90 females) aged 20-65 years were analyzed retrospectively. Foot length and height, malleolar width, calcaneus length and height, 1-5. metatarsal length relationships with height were interpreted. Proximal metatarsal width, distal metatarsal width, 1-5. metatarsal distal end width, proximal end width and corpus width relations with a body weight were evaluated.Results: For both feet in men, the correlations between height and foot length, height and 5th metatarsal length, and between weight and 2nd metatarsal distal end width were found to be significant. For both feet in women, correlation relationship between height and foot length, 1st metatarsal length, 3rd metatarsal length and in terms of body weight, the correlation relationship between the 1st metatarsal distal tip width, 3rd metatarsal corpus width, 4th metatarsal corpus width, and 5th metatarsal proximal tip width was found to be significant.Conclusion: In the study, formulas for regression equations, height estimation and body weight were obtained from foot measurements. When the formulas have been developed are used according to gender, they show a deviation of 9-10 cm for height estimation and 11-14 kg for body weight estimation. When our formulas are evaluated by ignoring the gender difference, they show a deviation of less than 6 cm for height estimation and 8-9 kg for body weight. We believe that height and body weight from foot measurements could be predicted by the virtue of our formulas in similar populations. We think that our study results will be beneficial for forensic specialists, archaeologists, criminologists, and researchers who will conduct detailed research on this subject in estimating height and body weight from foot measurements in cases where body integrity cannot be preserved.

The Effect of Marketing Mix on Consumer Loyalty of Telkomsel Internet Card (Case Study on University Faculty of Economics South Sumatra)

The quality of service in the price provided through Telkomsel products is by providing a nominal recharge of pulses from five thousand rupiah to millions of rupiah, this is intended to provide many choices to consumers so that the nominal price of Telkomsel top up pulses is affordable by all layers. The internet packages that Telkomsel offers to the public include Physical Internet Voucher Packages starting from 1.5 GB Packages up to 14 GB Packages, Telkomsel Halo Unlimited, Telkomsel Zoom Pro Packages, 5G Orbit Internet Packages, Telkomsel Prepaid Combo Sakti Packages, OMG Prepaid Telkomsel Packages ! Watch , Telkomsel Prepaid Kuota Ketengan Package, Telkomsel Prepaid Kuota Family Package. The research method is a scientific way to obtain data with a specific purpose and use. The method used in this study is a quantitative method so that the data in this study is quantitative data. Quantitative data is data in the form of numbers, such as data measuring intervals and ratios (Darmadi, 2001:19). In terms of the methods and techniques of data collection, the data collection techniques can be done by interview (interview), questionnaire (questionnaire), Observation (observation) and a combination of the three. The analysis used to determine the effect of several independent variables X with one dependent variable Y, which is expressed by the multiple regression formula. Based on the results of data analysis through the help of the SPSS program regarding the influence of the marketing mix on Telkomsel internet card consumer loyalty, the following conclusions can be drawn: From the results of multiple linear regression tests. It was found that the most dominant marketing mix variable was the distribution variable of 0.238, followed by the product variable of 0.214, the price variable of 0.161 and the last variable of promotion was 0.150.

Pengaruh Person Organization Fit dan Person Job Fit Terhadap Kinerja Karyawan Pada Kopontren MBS Water Suci Manyar Gresik

This study aims to determine the effect of Person Organization Fit and Person Job Fit on Employee Performance in the Kopontren MBS Water Suci Gresik. This type of research used in this research is quantitative with associative analysis. The sampling technique used was a simple random sampling technique with a sample size of 40 Kopontren MBS Water Suci Gresik employees. This study uses data collection techniques using questionnaires, interviews, documentation and observation. In analyzing data using statistical methods using validity and reliability, classic assumption tests, and hypothesis testing with multiple linear regression formula. The results showed that, (1) Person Organization Fit Influenced Employee Performance in the Kopontren MBS Water. (2) Person Job Fit has a Significant Effect on Employee Performance in MBS Water Co-Controllers. (3) Person Organization Fit and Person Job Fit Have Simultaneous Effect on Employee Performance in the Kopontren MBS Water. Keywords: Person Organization Fit; Person Job Fit; Employee Performance

Development of age-estimation formula using postmortem oral findings: A pilot study.

The goal of this pilot study was to develop an age-estimation formula and assess its effectiveness after evaluating individual intraoral findings. A total of 198 Japanese adults were included, and intraoral findings were collected from the corpses. To analyze the condition of each tooth, 20 items were established for intraoral findings, and seven tooth states were established. Logistic regression analysis was used to estimate the impact of age on each intraoral finding. Sequentially, linear regression was applied to verify the correlation between age and type of tooth, and multiple regression was used to correlate age-dependent factors. The intraoral findings with age dependency were tooth stump, edentulous jaw, attrition, no caries, dental prostheses, partial dentures, and complete dentures. Tooth stump, attrition, and dental prostheses showed positive multicollinearity. Missing tooth, extant tooth, normal teeth, and untreated lost teeth were age-correlated. Multiple regression analysis included age as the response variable and five factors as the explanatory variables in a new age-estimation formula, resulting in±10years for 86.96% of cases (60-69years old), 76.47% (70-79years old), and 61.05% of all cases. The multiple correlation was 0.551, and the contribution rate of the multiple regression formula was 0.304. The accuracy of the proposed age-estimation formula was within±10years for 61.05% of all subjects. However, the accuracy of age estimation in subjects aged 60-79years was excellent (76.47-86.96%), which showed that this age-estimation formula would be effective for estimating the age of middle-aged to older subjects.

The Effect of Organizational Culture, Principal Leadership and Motivation on Teacher Performance in Madrasah

This study aims to determine whether direct and indirect effects of organizational culture, principal leadership, and motivation on teacher performance at Madrasah Aliyah Irsyadul Islamiyah. The type of research used is a quantitative research using multiple linear regression formulas and flow analysis as its development. This study found that: 1) there was a significant influence between teacher motivation and teacher performance of 0.570. The contribution given by teacher motivation to teacher performance is 31.2%; 2) The influence of organizational culture and principal's leadership on teacher performance is 0.642. The contribution given by the head of madrasa communication to teacher performance is 41.2%; 3) Teacher motivation, organizational culture, and principal leadership together on teacher performance have a strong relationship of 0.737. The contribution of the two independent variables to the teacher's performance at Madrasah Aliyah Irsyadul Islamiyah was 54.3%, while the remaining 45.7% was the contribution of other variables not measured in this study.

Evolution of cranial capacity revisited: A view from the late Middle Pleistocene cranium from Xujiayao, China

The Late Middle Pleistocene hominin fossils from the Xujiayao site in northern China have been closely studied in light of their morphological variability. However, all previous studies have focused on separated cranial fragments. Here, we report the first reconstruction of a fairly complete posterior cranium, Xujiayao 6 (XJY 6), confidently dated to ∼200–160 ka, which facilitated an assessment of its overall cranial size. XJY 6 was reconstructed from three of the original fragments—the PA1486 (No.7/XJY 6a) occipital bone, PA1490 (No.10/XJY 6b) right parietal bone, and PA1498 (No.17/XJY 15) left temporal bone—which originated from the same young adult individual. The XJY 6 endocranial capacity, estimated by measuring endocranial volume, was estimated using multiple regression formulae derived from ectocranial and endocranial measurements on select samples of Pleistocene hominins and recent modern humans. The results indicate that the larger pooled sample of both Pleistocene and recent modern humans was more robust for the endocranial capacity estimate. Based on the pooled sample using the ectocranial and endocranial measurements, we conservatively estimate the XJY 6 endocranial volume to be ∼1700 cm3 with a 95% confidence interval of 1555–1781 cm3. This is close to Xuchang 1, which dates to 125–105 ka and whose endocranial volume is ∼1800 cm3. Thus, XJY 6 provides the earliest evidence of a brain size that falls in the upper range of Neanderthals and modern Homo sapiens. XJY 6, together with Xuchang 1, Homo floresiensis, Homo luzonensis, and Homo naledi, challenge the general pattern that brain size gradually increases over geological time. This study also finds that hominin brain size expansion occurred at different rates across time and space.

Low T3 syndrome as a prognostic factor in patients in the intensive care unit: an observational cohort study

ObjectiveTo assess euthyroid sick syndrome as a prognostic factor in patients in the intensive care unit; to detect factors that may affect mortality; and to develop an equation to calculate death probability.MethodsThis was a longitudinal, observational, nonconcurrent cohort study developed in the intensive care unit of Fundação Santa Casa de Misericórdia do Pará. One hundred adults with no prior documented endocrinopathy were submitted to a 20mL blood sample collection for the measurement of thyroid stimulating hormone, free tetraiodothyronine, free triiodothyronine and reverse triiodothyronine.ResultsMost patients were female, aged 20 to 29 years. Most patients who died were older (median age of 48 years), and euthyroid sick syndrome was present in 97.5% of them. Euthyroid sick syndrome was related to death, comorbidities, age and length of stay in the intensive care unit (median of 7.5 days).There was an association between lower thyroid stimulating hormone and death. Patients with free triiodothyronine levels below 2.9pg/mL were more likely to die; reverse triiodothyronine rates were above 0.2ng/mL in those who died. Free triiodothyronine had greater sensitivity and accuracy, and reverse triiodothyronine had greater specificity to predict mortality. Based on the results and cutoff points, a multiple logistic regression formula was developed to calculate the probability of death.ConclusionThe main limitation of this study is the fact that it was conducted in a reference hospital for maternal and child care; therefore, there was a greater number of female patients and, consequently, a sampling bias existed. However, opportune measurement of free and reverse triiodothyronine levels in critical patients and application of the proposed equation are suggested.

Height estimation by evaluating morphometric measurements of hands and fingers

Biological bodily integrity is often lost in deaths due to undesirable situations such as femicides, natural disasters and plane crashes. For forensic scientists, accurate estimation of the person's stature is important for identification. In our study, it was aimed to obtain simple and multiple linear regression formulas required for stature calculation from hand and finger morphometric measurement values of young women. This study was carried out with the voluntary participation of 65 healthy young adult women between the ages of 18-24. Measurements were made on the palmar side of the hand using a digital caliper. In the study participants, the mean values of the measured variables; stature 164.45 cm, hand length 17.40 cm, hand width 7.70 cm, palm length 9.92 cm. Simple and multiple regression equations were obtained for stature estimation. The most reliable one of the regression equations obtained for stature estimation was the equation based on hand length. There was no correlation between thumb length and stature. The correlation value between index finger and stature was greater than the values obtained from other fingers (r=0.344, p&lt;0.01). The correlation value between palm length and stature was higher than the correlation value between fingers and stature (r=385, p&lt;0.01). Moderate and high positive correlation values were found between finger lengths and each other. The highest correlation value was between middle finger length and 4th finger length (r=872, p&lt;0.01). The correlation value between thumb and little finger lengths was the smallest (r=415 p&lt;0.01). The correlation value between hand length and stature is higher than the values obtained from finger lengths. In cases where total hand length cannot be measured, linear regression formula based on palm length should be preferred. Regression analysis results showed that palm length gave a better estimation of stature compared to finger length measurements.

Low T3 syndrome as a prognostic factor in patients in the intensive care unit: an observational cohort study.

To assess euthyroid sick syndrome as a prognostic factor in patients in the intensive care unit; to detect factors that may affect mortality; and to develop an equation to calculate death probability. This was a longitudinal, observational, nonconcurrent cohort study developed in the intensive care unit of Fundação Santa Casa de Misericórdia do Pará. One hundred adults with no prior documented endocrinopathy were submitted to a 20mL blood sample collection for the measurement of thyroid stimulating hormone, free tetraiodothyronine, free triiodothyronine and reverse triiodothyronine. Most patients were female, aged 20 to 29 years. Most patients who died were older (median age of 48 years), and euthyroid sick syndrome was present in 97.5% of them. Euthyroid sick syndrome was related to death, comorbidities, age and length of stay in the intensive care unit (median of 7.5 days).There was an association between lower thyroid stimulating hormone and death. Patients with free triiodothyronine levels below 2.9pg/mL were more likely to die; reverse triiodothyronine rates were above 0.2ng/mL in those who died. Free triiodothyronine had greater sensitivity and accuracy, and reverse triiodothyronine had greater specificity to predict mortality. Based on the results and cutoff points, a multiple logistic regression formula was developed to calculate the probability of death. The main limitation of this study is the fact that it was conducted in a reference hospital for maternal and child care; therefore, there was a greater number of female patients and, consequently, a sampling bias existed. However, opportune measurement of free and reverse triiodothyronine levels in critical patients and application of the proposed equation are suggested.

Pengalaman dan Kompetensi Profesional Guru terhadap Kinerja Guru

This study aims to determine the effect of experience and professional competence on teacher performance in Madrasah Tsanawiyah Swasta, Sukajadi District, Pekanbaru. This research is field research, using a quantitative approach. research respondents amounted to 36 teachers. Data collection techniques using documentation, observation, and questionnaires. The data analysis technique used multiple linear regression formula. Based on the results of the study, it can be concluded that there is an effect of experience on teacher performance with a t value of 3.227 &gt; t table (2.034) and a value of f (0.003 &lt; 0.05), it can be concluded that experience has a significant effect on teacher performance. There is a professional influence on teacher performance with a t-count value of 9,024 ttable (2,034) and a f value (0.000 &lt;0.05), it can be concluded that teacher professional competence has a significant effect on teacher performance. And there is an effect of experience and professional competence on the performance of private Madrasah Tsanawiyah teachers, Sukajadi District, Pekanbaru, obtained the value of F arithmetic &gt; F table that is (192.063&gt; 2.034) with a significance value of &lt;0.05, which is 0.000. It can be concluded that the experience and professional competence of teachers have a significant effect. on teacher performance.

Multiple Linear Regression and Deep Learning in Body Temperature Detection and Mask Detection

In this new normal era, many activities began to operate again, such as offices, malls, etc. This creates a potential mass crowd. The public must follow health protocols as recommended by the government, including wearing masks and checking the temperature to anticipate the spread of the coronavirus. This study tested a tool that included image processing and artificial intelligence to help implement health protocols as recommended by the government. This tool connects Raspberry PI, Thermal Camera (amg8833), Pi Camera, an ultrasonic sensor with Multiple Linear Regression and Deep Learning algorithms. The purpose of this tool is to detect body temperature and detect the use of masks. The system will check on the pi camera frame whether the person is wearing a mask or not. The system is trained using the Deep Learning method to detect the use of masks. The system will check the temperature of the human body and the distance between humans and the tool. Temperature and distance data are entered in multiple linear regression formulas to get more accurate results. The processed results of the system will be displayed on the monitor screen if detected using a mask and the normal temperature will be green and if it is not detected it will be red and give a warning sound. The data is sent to the server and displayed via the web. We found that this tool succeeded in detecting body temperature within a distance of 1 to 3 meters with an accuracy of 99.49%, detecting people using masks with an accuracy of 94.71%, and detecting people not wearing masks with an accuracy of 97.7%.

A Digital Radiographic Study of Age Estimation Using Area-specific Formula in Odisha Population

The aim of the article was to evaluate the feasibility of pulp/tooth area ratio in three mandibular teeth, namely left canine, left first premolar, and left second premolar (33, 34, and 35), as an indicator of age using digital panoramic radiograph and Kvaal's parameters. The study also aimed at computing an area-specific formula for age estimation in Odisha population. Observation and analysis of 50 digital orthopantomographs (OPGs) and clinical data of patients were made. These images were saved as high-resolution JPEG files. Using the Adobe Photoshop CS3 (extended) image editing software program (Adobe Systems Inc, San Jose, California, United States), the pulp/tooth area ratio of 33, 34, and 35 was analyzed. These ratios were substituted in Odisha population-specific formula, derived using principal component regression analysis. The mean chronological age was 33.24 years. Principal component regression analysis was used to derive multiple regression formulae for individual teeth as well as a combined formula. R2 (coefficient of determination) for combined three mandibular teeth was highest (0.7769) with a standard error of 4.5969 years and thus was a better predictor of age in the population of Odisha. In terms of an individual tooth, comparison between chronological and predicted age revealed that left second mandibular premolar (35) had highest correlation to actual age. Karl Pearson's correlation coefficient showed correlation between age and the mean of ratios from combined three mandibular teeth was stronger than that of single tooth. In the present study, second left mandibular premolar showed highest correlation to actual age when used alone. The use of three teeth in combination increased the correlation. This Odisha-specific formula showed promising results and can be used for forensic applications in this population. Using three different teeth for age estimation proved to be a better predictor of age in the Odisha population. Moreover, the obtained formula can act as a standard and be used for anthropological or forensic investigations in the said population.