# Question

Commute times: Every morning. Tania leaves for work a few minutes after 7:00 A.M. For eight days. she keeps track of the time she leaves (the number of minutes after 7:00) and the number of minutes it takes her to get to work. Following are the results.

a. Construct a scatterplot of the length of commute (y) versus the time leaving (x).

b. Compute the least-squares regression line for predicting the length of commute from the time leaving.

c. Compute the coefficient of determination.

d. Which point is an outlier?

e. Remove the outlier and compute the least-squares regression line for predicting the length of commute from the time leaving.

f. Is the outlier influential? Explain.

g. Compute the coefficient of determination for the data set with the outlier removed. Is the relationship stronger. weaker, or about equally strong without the outlier?

a. Construct a scatterplot of the length of commute (y) versus the time leaving (x).

b. Compute the least-squares regression line for predicting the length of commute from the time leaving.

c. Compute the coefficient of determination.

d. Which point is an outlier?

e. Remove the outlier and compute the least-squares regression line for predicting the length of commute from the time leaving.

f. Is the outlier influential? Explain.

g. Compute the coefficient of determination for the data set with the outlier removed. Is the relationship stronger. weaker, or about equally strong without the outlier?

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