PART MISSING OF THE 3RD TABLE(Parking spaces) Daily sales= 0.67718086 ?Store area 0.11000474? Parking spaces =1 (Income) ?Daily sales= -0.5502346 ?Store area= -0.2039378 ?Parkingspaces= -0.4470503 ?Income= 1 FRIDA CONVENIENCE STORES ARE LOCATED THROUGHOUT THE TORONTO METRPOLITAN AREA. FRIDA, THE OWNER WOULD LIKE TO EXPAND INTO OTHER COMIUNITIES. AS PART KF HER PRESENTATION TO THE BANK, SHE WOULD LIKE TO BETTER UNDERSTAND THE FACTORS THAT MAKE A OUTLET PROFITABLE. SHE SELECTS A RANDOM SAMPLE OF 15 MARTS AND RECORDS THE AVERAGE DAILY SALES (Y) the floor space (area) THE NUMBER IF PARKING DPACES AND THE MEDIAN INCOME OF FAMILIES IN EACH REGION. THE SAMPLE INFORMATION IS REPORTED : (PICTURE ATTACHED) ...... QUESTIONS: 1? What is the percentage of variation in Daily sales explained by Store area Parking spaces and Income? ( Answer as a percentage with two decimal places and the % symbol) 2? Determine the regression equation ( Round y -int and coefficients to 2 decimal places) 3? Estimate the daily sales with a Store area of 455, 8 parking spaces and an Income of 50,000 (Format answer as currency with 2 decimal places)

B C D Sampled G Daily Store Parking Income Mart Sales ($) Area Spaces ($000) SUMMARY OUTPUT 1 1,840 532 6 44 2 1746 478 4 51 Regression Statistics 3 1812 530 7 45 Multiple R 0.913977941 1806 508 7 46 R Square 0.835355677 1792 514 5 44 Adjusted R Square 0.79045268 1825 556 6 46 Standard Error 13.4242577 1811 541 49 Observations 15 8 1803 513 6 52 9 1830 532 5 46 ANOVA 10 1827 537 46 df 11 1764 499 48 Regression 3 100! 12 1825 510 8 47 Residual 11 198. 13 1763 490 4 48 Total 14 14 1846 516 8 45 15 1815 482 7 Coefficients Stand Intercept 1480.744612 126. Daily Store Parking Income Store Sales (5) Area Spaces Area 0.731498876 0.16 Daily Parking Spaces 9.991487385 2.59 Sales (S) Income Store (SOOD) 230826272 1.59 Area 0.65865191 Parking