Hi, please show your work so I can understand. Also please write clearly so I can read. I will give positive feedback! Also, pleasure ensure calculation are done to the 4th decimal place. Thank you for your help!

The manager of YorkU Sports is investigating whv certain sport stores in York Region are performing better than others. She believes that 3 factors are related to any store's overall success {i.e. total sales revenue}; the number of competing stores within a 10 km radius of each other, the population in the surrounding area within 50 km of anyr store and the amount any store spends on Google AdWords. She hires some smart 2320 student from York to investigate this and provide some insight. A random sample of 3D stores is selected. For each store, the following information was gathered: v = total sales last vear {in $DDU's] X1 = the number of competitors within a 10 km radius X2 = the population within the area {in 900's) X3 = the amount spent on Google AdWords {in $D's} a. Is there enough evidence to conclude at the 5% significance level that x, and y are linearly related (show your work)?The sample data produced the following results: SUMMARY OUTPUT Regression Statistics Multiple R 0.7622 R Square 0.5810 Adj R Square 0.5326 Standard Error 9.1987 Observations 30 AN OVA df SS Regression 3 3,050.0000 Residual 26 2,200.0000 Total 29 5,250.0000 Regression output Coefficients Std Error t Stat Intercept 14.0000 7.0000 2.0000 Competitors -1.0000 0.7000 -1.4286 Population 30.0000 5.2000 5.7692 Adwords 0.2000 0.0800 2.5000