these are the values in ariels data set. (1, 67), (3, 88), (5, 97), (6, 101), (8, 115) ariel determines the…

these are the values in ariels data set. (1, 67), (3, 88), (5, 97), (6, 101), (8, 115) ariel determines the equation of a linear regression line to be $hat{y}=6.5x + 63.8$. use the point tool to graph the residual plot for the data set. round residuals to the nearest unit as needed.

these are the values in ariels data set. (1, 67), (3, 88), (5, 97), (6, 101), (8, 115) ariel determines the equation of a linear regression line to be $hat{y}=6.5x + 63.8$. use the point tool to graph the residual plot for the data set. round residuals to the nearest unit as needed.

Answer

Explanation:

Step1: Recall residual formula

Residual $e = y-\hat{y}$, where $y$ is the actual - value and $\hat{y}$ is the predicted value.

Step2: Calculate predicted values for each $x$ - value

For $(x = 1)$: $\hat{y}=6.5\times1 + 63.8=6.5+63.8 = 70.3$. Residual $e_1=67 - 70.3=- 3.3\approx - 3$. For $(x = 3)$: $\hat{y}=6.5\times3+63.8 = 19.5+63.8=83.3$. Residual $e_2=88 - 83.3 = 4.7\approx5$. For $(x = 5)$: $\hat{y}=6.5\times5+63.8=32.5 + 63.8 = 96.3$. Residual $e_3=97 - 96.3 = 0.7\approx1$. For $(x = 6)$: $\hat{y}=6.5\times6+63.8=39+63.8 = 102.8$. Residual $e_4=101 - 102.8=-1.8\approx - 2$. For $(x = 8)$: $\hat{y}=6.5\times8+63.8=52+63.8 = 115.8$. Residual $e_5=115 - 115.8=-0.8\approx - 1$.

Step3: Plot the points

The points to plot on the residual - plot are $(1,-3),(3,5),(5,1),(6, - 2),(8,-1)$.

Answer:

The points to be plotted on the residual plot are $(1,-3),(3,5),(5,1),(6, - 2),(8,-1)$.