Yummy Lunch Restaurant needs to decide the most profitable location for their business expansion. Marketing manager plans to use a multiple regression model to achieve their target. His model considers yearly revenue as the dependent variable. He found that number of people within 2KM (People), Mean household income(income), no of competitors and price as explanatory variables of company yearly revenue.

The following is the descriptive statistics and regression output from Excel.

Revenue Mean 343965.68 5970.26 41522.05 Standard Error 530789863 1300345281 5821376385 0.142857 0.051030203 Median 3451865 Mode #NIA 5917 Standard Deviation 3753251115 98347613 4118334718 1.010153 0360838027 Sample Variance 1408089393 9672252984 1694421151 1.020408 0.130204082 Sum 17198284 298513 2076148 140 284 Count 50 50 50 50 50