Here Are Plots for Studentized Residuals Against Chest Compare the Regression with the Previous One

question 5

Essay

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 $$\begin{array} { c } & \text { Sum of } & &{ \text { Mean } } \\\text { Source } & \text { Squares } & \text { DF } & \text { Square } & \text { F-ratio } \\\text { Regression } & 21671 & 3 & 7223.67 & 123.23 \\\text { Residual } & 1406.88 & 24 & 58.62 &\end{array}$$ $$\begin{array} { l r c r r } \text { Variable } & \text { Coefficient } & \text { SE(Coeff) } & \text { t-ratio } & \text { P-value } \\\text { Intercept } & - 167.52 & 7.47 & - 22.43 & < 0.0001 \\\text { Chest } & 3.01 & 2.98 & 1.01 & 0.3218 \\\text { Length } & 4.05 & 1.53 & 2.65 & 0.0135 \\\text { Sex } & - 2.03 & 2.14 & - 0.95 & 0.3509\end{array}$$ 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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