1. Imagine we are interested in the relationship between an outcome

\f\f\fCoefficients Unstandardized Standardized Coefficients Coefficients 95% Confidence Interval for B Collinearity Statistics Model B Std. Error Beta t Sig Lower Bound Upper Bound Tolerance VIF (Constant) 1.5645 .0794 19.7050 0000 1.3998 1.7292 Net Revenues .2372 0556 9872 4.2693 0003 .1220 .3524 1145 8.7321 Number of Branches -.0002491 0000 -1.7971 -7.7719 0000 -.0003155 -.0001826 1145 8.7321 a. Dependent Variable: Profit MarginModel Df Sum of Mean Square F Sig. Squares Regression A C .2008 E <.001 residual b .0625 d total .4640 a. predictors: number of branches net revenues b. dependent variable: profit margin>