Question: Linear Regression Equation: Parameter Estimate Intercept -0.3567 Slope (explanatory) 4.034 Model Summary: Statistic Value Correlation Coefficient r 0.804 Coefficient of Determination r2 64.7% Residual Standard

Linear Regression Equation: Parameter Estimate Intercept -0.3567 Slope (explanatory) 4.034 Model Summary: Statistic Value Correlation Coefficient r 0.804 Coefficient of Determination r2 64.7% Residual Standard Deviation 1.452 Statistics: Variable n Mean Std. Dev. Min. Q1 Median Q3 Max. response 144 10.63 2.43 6.30 8.95 10.10 12.12 20.50 explanatory 144 2.724 0.485 2.000 2.300 2.700 3.025 3.900 it appropriate to use the line of best fit to make the prediction for Tigger? Is it appropriate to use the line of best fit to make the prediction for Tigger? No, because it is not appropriate to use a linear model for this dataset. No, because Tigger's weight is outside the range of data values used to make the linear equation, and this is an example of extrapolation. Yes, because overall the dataset follows a linear trend and Tigger's weight is inside or close enough to the range of data values used to make the line of best fit. This is an example of "interpolation" which is a good statistical practice

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