Abstract

At the end of this chapter, you will be able to:•Estimate the parameters of the simple and multiple regression models.•Evaluate the results of statistical tests pertinent to the regression models.•Develop confidence intervals for the parameters of the forecasting models.•Understand the assumptions of the regression models by the ordinary least squares (OLS) method.•Specify non-linear regression models and understand the Box-Cox transformation.•Estimate simple and multiple regression models in R and interpret their results.

Full Text
Published version (Free)

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 call