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Safari File Edit View History Bookmarks Window Help learn unt edu Undergraduate Business Assessm... Take Test: CoB Undergraduate Busine... Home I Chegg.com Sales Adv SUMMARY OUTPUT 4250 235 3700 210 sion Statistics 2000 1600 Multiple R 5800 345 R Square 6200 325 Adj. R Square 0.86 Standard 6500 365 Error 594.81 7000 400 Observations 20 4900 370 6100 350 ANOVA. 2900 200 SS MS F Sign. F 3.11E- 3200 200 Regression 1 40523671 40523671 114.54 09 3500 210 Residual 18 6368342 353796.8 4000 230 Total 19 46892014 5175 210 Low Upr. Coefnts. Std, Error t Stat P-value 95% 95% 5900 325 Intercept 57.28 509.75 -0.11 0.9 1128.23 1013.66 7110 390 ADV 17.57 1.64 10 0.00 21.02 6500 375 7400 415 6600 380 1496

Explanation / Answer

Result:

Can the sales (Sales) be better predicted through the advertising (Adv) dollars spent at the ABC Sales Corp.? Data related to both these variables was collecte D) The numbers in the Table below are in hundreds of dollars. Simple linear regression, run using Excel at 5% level of significance gave the results below. How much of the variation in Sales is explained away by Adv.?

R square = SSR / SST = 40523671/46892014

=0.864191

Answer: 86%

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