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Analyze the model significance using the regression statistics: R-square, t-statistics, and F-statistics. fRegression Statistics Multiple R 0.90986692 R Square 0.82785781 Adjusted R Squa 0.80031506 Standard

Analyze the model significance using the regression statistics: R-square, t-statistics, and F-statistics.

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\fRegression Statistics Multiple R 0.90986692 R Square 0.82785781 Adjusted R Squa 0.80031506 Standard Error 15102.3601 Observations 30 ANOVA df SS MS F Significance F Regression 4 27421933736 6855483434 30.0571944 3.18801E-09 Residual 25 5702032051 228081282 Total 29 33123965787 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 122123.339 71877.72042 1.69904301 0.10172365 -25911.59757 270158.275 -25911.598 270158.275 Price (P) -17267.45 4139.792113 -4.1710912 0.00031893 -25793.5118 -8741.3889 -25793.512 -8741.3889 Competitor Pric 16688.4943 3507.433532 4.75803579 6.9755E-05 9464.799703 23912.1889 9464.7997 23912.1889 Advertising (Ad) 0.18885521 0.093445416 2.02102166 0.05410934 -0.003599227 0.38130965 -0.0035992 0.38130965 Income (1) 8.78270776 1.038379256 8.45809246 8.3886E-09 6.644125647 10.9212899 6.64412565 10.9212899

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