MGCR 271 Lecture Notes - Lecture 5: Regression Analysis, Coefficient Of Determination, Single-Stage-To-Orbit

• School: McGill University
• Department: Management Core
• Course: MGCR 271
• Professor: Glenn Zabowski

Document Summary

Y = 0 + 1x1 + 2x2 + 3x3 + + kxk + . Multiple regression is regression analysis with more than one independent variable. Estimated regression line: y = b0 + b1x1 + b2x2 + b3x3 + + bkxk. K = the true regression parameters. bk = the estimated regression coefficients. = the error term. bk = the change in y (the dependent variable) per unit increase in xk with all other independent variables held fixed. You wish to construct a regression model which will explain a higher percentage of the variation in sales price. Action limit= (. 975;6) 6 comes straight from anova table. Therefore, conclude h0 for x2 and x4. (1. 97 and 0. 977) -- drop. Therefore we conclude h1 for x1,x3 and x5 (8. 0,4. 26,11. 33) keep. The percent of variation in the dependent variable that is explained by the set of independent variables. The strength of the linear association between the set of independent variables and the dependent variable.