Regression Statistics Multiple R 0.132 R Square 0.018 Adjusted R Square 0.013 Standard Error 2.653 Observations 235.00 ANOVA df SS MS F Significance F Regression 1.00 29.29 29.29 4.16 0.042 Residual 233.00 1639.62 7.04 Total 234.00 1668.91 Coefficients Standard Error t Stat P-value Intercept 2.91 0.59 4.91 0.000 Value For Money 0.35 0.17 2.04 0.042
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The multiple R is 0.132, which represents the correlation between the dependent variable and the independent variables. It ranges from 0 to 1, with higher values indicating a stronger relationship. Show moreā¦
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Adi S.
SUMMARY OUTPUT Regression Statistics Multiple R 0.971 R-Square 0.943 Adjusted R-Square 0.941 Standard Error 30.462 Observations 51 ANOVA Significance SS MS F P-value Regression 747851.57 373925.79 927.91 9.89E-31 Residual 402.98 9.89E-31 Total 792391 48 50 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 26.79 6.68 4.01 1.60E-30 9.04 10.42 Price of Roses -1.41 9.73 -0.15 1.64E-01 1.23E-31 Disposable Income 1539.66 1789.51 -16.16 2.81 0.34
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