Question: I computed a Pearson Correlation and linear regression to investigate the relationship between a diamond's weight and its price and got the following output. Variables

I computed a Pearson Correlation and linear regression to investigate the relationship between a diamond's weight and its price and got the following output.

between a diamond's weight and its price and got the following output.

Variables Entered/Removed Variables Variables Model Entered Removed Method 1 price b Enter a. Dependent Variable: Weight b. All requested variables entered.Model Summary Adjusted R Std. Error of Model R R Square Square the Estimate .9452 .893 .892 .09103 a. Predictors: (Constant), priceDescriptive Statistics Std. Mean Deviation N Weight .6309 .27718 308 price 5019.48 3403.116 308Correlations Weight price Weight Pearson Correlation .945 Sig. (2-tailed) <.001 n price pearson correlation .945 sig. is significant at the level>

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