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Consider the n =11 data values in the following table. Suppose we consider the simple normal…

Consider the n =11 data values in the following table.

Consider the n =11 data values in the following table. Suppose we consider the simple normal...

Suppose we consider the simple normal linear regression to describe the relationship between the response Y and the predictor X

(a) Plot the data in a scatter plot. (b) Calculate the least-squares line and plot this on the scatter plot in part (a).

(c) Plot the standardized residuals against X

(d) Produce a normal probability plot of the standardized residuals.

 (e) What are your conclusions based on the plots produced in parts (c) and (d)?

 (f) If appropriate, calculate 0.95-confidence intervals for the intercept and slope.

(g) Do the results of your analysis allow you to conclude that there is a relationship between Y and X? Explain why or why not.

 (h) If the model is correct, what proportion of the observed variation in the response is explained by changes in the predictor?