QMS 202 Lecture Notes - Simple Linear Regression, Linear Regression, F-Test

• School: Ryerson University
• Department: Quantitative Methods
• Course: QMS 202
• Professor: Jason Chin- Tiong Chan

Document Summary

Multiple regression models: the simple linear regression model was used to analyze how one quantitative variable (the dependent variable y) is related to one other quantitative variable (the independent variable x). Multiple regression allows for any number of independent variables. The director of marketing at ryerson wholesale products is studying the monthly sales. Three independent variables were selected as estimators of sales: regional population ( 1: interpret the number 64100, what are the estimated monthly sales for a particular region with a population of 796000 per-capita income of , and an. Cqms202-business statistics ii chapter14 unemployment rate of 6. 0 percent? (use 6. 0 in your calculation) We expect to develop models that fit the data better than would a simple linear regression model. e y. 2 b b b k x k x. 11 xx: general form of the multiple regression model x where y is the dependent variable the model ix are independent variables x.