Simple Linear Regression — Test Answers

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Based on the residual plot, is the linear model appropriate?

No, there is no clear pattern in the residual plot.

No, there are no homes between 2 comma 300 and 2 comma 900 square feet.

Yes, half of the residuals are positive and half are negative.

Yes, there is no clear pattern in the residual plot.

The equation hat y is equal to 17 point 4 plus 0 point 5 x is called the least-squares regression line because it

is least able to make accurate predictions for the data.

maximizes the sum of the squared distances from the actual y -value to the predicted y -value.

makes the strongest association between weight and height.

minimizes the sum of the squared distances from the actual y -value to the predicted y -value.

Which of the following is an accurate description of the scatterplot?

The kickers have unusually high success rates when the distance is small.

The kickers have unusually low success rates when the distance is large.

As the distance of the attempt increases, the kickers tend to have a lower success rate for their field goals.

As the distance of the attempt increases, the kickers have a lower success rate for their field goals.

How would the correlation change if the stopping distances were recorded in meters, rather than feet?

Since the number of meters would be less than the number of feet, the value of the correlation coefficient would increase.

Since the points would be more spread out, the value of the correlation coefficient would decrease.

Since the number of meters would be less than the number of feet, the value of the correlation coefficient would decrease.

The value of the correlation coefficient would not change.

Using the computer output, what is the correlation coefficient?

0 point 5 2 1

0 point 7 2 2

0 point 5 4 7

0 point 7 4 0

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