Below is a scatterplot of two numeric variables, X and Y. Figure 1: Scatterplot of X and Y 190 200 210 Y 180 170 160 0 2

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Below Is A Scatterplot Of Two Numeric Variables X And Y Figure 1 Scatterplot Of X And Y 190 200 210 Y 180 170 160 0 2 1 (53.21 KiB) Viewed 40 times

Below Is A Scatterplot Of Two Numeric Variables X And Y Figure 1 Scatterplot Of X And Y 190 200 210 Y 180 170 160 0 2 2 (53.21 KiB) Viewed 40 times

Below Is A Scatterplot Of Two Numeric Variables X And Y Figure 1 Scatterplot Of X And Y 190 200 210 Y 180 170 160 0 2 3 (33.53 KiB) Viewed 40 times

Below Is A Scatterplot Of Two Numeric Variables X And Y Figure 1 Scatterplot Of X And Y 190 200 210 Y 180 170 160 0 2 4 (15.72 KiB) Viewed 40 times

Below Is A Scatterplot Of Two Numeric Variables X And Y Figure 1 Scatterplot Of X And Y 190 200 210 Y 180 170 160 0 2 5 (11.64 KiB) Viewed 40 times

Below is a scatterplot of two numeric variables, X and Y. Figure 1: Scatterplot of X and Y 190 200 210 Y 180 170 160 0 2 4 6 8 10 12 Х a. Sketch the residual plot for the linear regression model predicting Y based on X. You can use MS paint, sketch it on paper, etc. Attach File Browse Local Files

b. Estimate the value of the residual for the point indicated by the arrow. 180 190 200 210 > 160 170 0 2. 4 9 8 10 12 Х

The Pearson correlation coefficient for this data is r = 0.51. What is the 99% confidence interval for the true correlation between X and Y? 4

Would it be appropriate to report the confidence interval you calculated above? Why/why not?