Question: SUMMARY OUTPUT Regression Statistics Multiple R 0.79 R Square A Adjusted R Square B Standard Error 26563.53 Observations 34.00 ANOVA df SS MS F Significance

SUMMARY OUTPUT

Regression Statistics

Multiple R 0.79

R Square A

Adjusted R Square B

Standard Error 26563.53

Observations 34.00

ANOVA

df SS MS F Significance F

Regression C 33447876745 F H 7.94E-06

Residual D 20463013035 G

Total E 53910889780

Coefficients Standard Error t Stat P-value

Intercept -122968.76 96520.13 -1.27 0.21

People 6.86 4.35 I 0.13

Income 7.64 1.21 J 0.00

Competitors -9228.87 5127.57 K 0.08

Price 22997.52 14114.89 L 0.11

What does the ANOVA table above tell you about the model (develop hypothesis if necessary in the analysis)?

a)Calculate the forecasted sales difference if you use 3-period weighted moving average designed with the following weights:2018 (0.1), 2019 (0.3) and 2020(0.6

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