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The relationship of horsepower of speedboats to weight is represented by the following scatter plot: Scatter plot with horsepower on the x axis and weight on the y axis. The points plotted are 62 and 1600, 63 and 2199, 66 and 1797, 71 and 2507, 75 and 1980, 81 and 2404, 91 and 2606, 94 and 2580, 97 and 2434, 99 and 2611, 104 and 2812, 114 and 3382, 115 and 3248, 120 and 2922. Amy created the following residual plot: Residual plot with x axis labeled horsepower and y axis labeled residuals. The points plotted are 62 and negative 2, 63 and negative 1.75, 66 and negative 1.25, 71 and negative 0.75, 75 and negative 0.5, 81 and 0, 91 and 0.5, 94 and 0.25, 97 and negative 0.5, 99 and negative 1, 104 and negative 1.25, 114 and negative 1.5, 115 and negative 2, 120 and negative 1.9. Does her residual plot make sense based on the scatter plot? Explain. The nonlinear, U-shaped residual plot makes sense because the scatter plot appears to have a positive relationship. The nonlinear, U-shaped residual plot makes sense because the scatter plot appears to have a linear relationship. The nonlinear, U-shaped residual plot does not make sense because it should have a linear relationship like the scatter plot. The nonlinear, U-shaped residual plot does not make sense because it should have a random pattern, as the scatter plot appears to be linear. Question 2(Multiple Choice Worth 3 points) (04.06 MC) A line of fit was used to predict the values of ŷ in the table: x y ŷ 3 12 6.5 7 9 8.5 9 16 9.5 10 14 10 12 5 11 15 24 12.5 Analyze the data. Determine whether the equation that produced the predicted values represents a good line of best fit. No, the equation is not a good fit because the residuals are all far from zero. No, the equation is not a good fit because the sum of the residuals is a large number. Yes, the equation is a good fit because the residuals are not all far from zero. Yes, the equation is a good fit because the sum of the residuals is a small number. Question 3(Multiple Choice Worth 3 points) (04.
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