Abstract
Abstract With the continuous innovation of scientific research, technological level and social and economic development, the technological innovation of enterprises in the continuous management is also facing a new breakthrough and upgrade. Especially for enterprises in the era of big data, in order to better respond to the new demands of the development of the new era, enterprise managers should make effective technological innovation from the global economic growth trend on the basis of clarifying their own development advantages. Therefore, on the basis of understanding the multiple linear regression model and its construction conditions, this paper analyses the influencing variables in the actual development according to the current management technology and innovation of enterprises, and obtains the clear results of the model research.
Highlights
With the continuous innovation of scientific research, technological level and social and economic development, the technological innovation of enterprises in the continuous management is facing a new breakthrough and upgrade
In order to better study the real relationship between enterprise management technology and innovation under the influence of multiple factors, this paper will make a comprehensive exploration based on multiple linear regression model
In the research of enterprise management technology and innovation based on multiple linear regression model, the sample size compiled must exceed the number of explanatory variables of the model; in other words, it must conform to this formula
Summary
In order to better study the real relationship between enterprise management technology and innovation under the influence of multiple factors, this paper will make a comprehensive exploration based on multiple linear regression model. It is assumed that enterprise management technology and innovation as the dependent variable Y1 will be affected by multiple factors. Is a linear function of k and the random error term is U1. In this case, the formula of multiple linear regression model is: yt = β0 + β1xt1 + β2xt2 + ... Under this condition, Yt and Xt1 are clear, but β i and U1 are unknown, so the corresponding matrix expression formula is: y1 y2 y3.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
