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Here Are Plots for Studentized Residuals Against Chest

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Here are plots for Studentized residuals against Chest. Here are plots for Studentized residuals against Chest. Here is the same regression with the two data points with residuals above 2 removed: Dependent variable is: Weight 30 total bears of which 2 are missing R-squared = 93.8% R-squared (adjusted)= 93.0% s = 7.22 with 28 - 4 = 24 degrees of freedom Compare the regression with the previous one.In particular,which model is likely to make the best prediction of weight? Which seems to fit the data better?
Here is the same regression with the two data points with residuals above 2 removed:
Dependent variable is: Weight
30 total bears of which 2 are missing
R-squared = 93.8% R-squared (adjusted)= 93.0%
s = 7.22 with 28 - 4 = 24 degrees of freedom Here are plots for Studentized residuals against Chest. Here is the same regression with the two data points with residuals above 2 removed: Dependent variable is: Weight 30 total bears of which 2 are missing R-squared = 93.8% R-squared (adjusted)= 93.0% s = 7.22 with 28 - 4 = 24 degrees of freedom Compare the regression with the previous one.In particular,which model is likely to make the best prediction of weight? Which seems to fit the data better?
Here are plots for Studentized residuals against Chest. Here is the same regression with the two data points with residuals above 2 removed: Dependent variable is: Weight 30 total bears of which 2 are missing R-squared = 93.8% R-squared (adjusted)= 93.0% s = 7.22 with 28 - 4 = 24 degrees of freedom Compare the regression with the previous one.In particular,which model is likely to make the best prediction of weight? Which seems to fit the data better?
Compare the regression with the previous one.In particular,which model is likely to make the best prediction of weight? Which seems to fit the data better?

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