SUMMARY OUTPUT Regression Statistics Multiple R 0.535927511 R Square 0.287218297 Adjusted R Square 0.26625413 Standard Error 6938.734668 Observations 36 ANOVA df SS MS F Significance F Regression 1 659621859.2 6.6E+08 13.70044 0.000755105 Residual 34 1636965319 48146039 Total 35 2296587178 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 819247.4551 51893.25883 15.78717 3.22E-17 713787.6648 924707.245 713787.665 924707.2454 Advertising Expenses 3.677554271 0.993554859 3.70141 0.000755 1.658407864 5.69670068 1.65840786 5.696700677 The ______ the value of adjusted r-squared, the greater the ___ of the model. multiple choice 2 lower; capability greater; fit lower; fit greater; capability
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This is done by taking the square of each coefficient and then summing them up. Show more…
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