A Simple Linear Regression (SLR) was performed where the monthly Revenue ("Rev", the y-variable) was regressed on the monthly Advertising Expenditures ("Expend", the x-variable). The Excel-generated...


A Simple Linear Regression (SLR) was performed where the monthly Revenue ("Rev", the y-variable) was regressed on the monthly Advertising Expenditures ("Expend", the x-variable). The Excel-generated Regression output is provided below:






















































































ANOVA
dfSSMSFSignificance F
Regression1492.528125492.52812510.655256340.046980871
Residual3138.67187546.22395833
Total4631.2
CoefficientsStandard Errort StatP-valueLower 95%Upper 95%
Intercept23.13281255.3243109364.3447523590.0225104696.18847883340.07714617
Expend3.10156250.9501640313.2642390140.0469808710.0777164896.125408511


a. From the Excel-generated Regression output above, give the value of b0, the estimated y-intercept. Round off your answer to the fourth decimal place. b0 =____.


b. From the Excel-generated Regression output above, give the value of b1 , the estimated slope. Round off your answer to the fourth decimal place. b1 =  _________



Jun 06, 2022
SOLUTION.PDF

Get Answer To This Question

Related Questions & Answers

More Questions »

Submit New Assignment

Copy and Paste Your Assignment Here