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Chapter 3: Q 77. (page 210)

Suppose that a tall child with an arm span of 120 cm and a height of 118 cm was added to the sample used in this study. What effect will this addition have on the correlation and the slope of the least-squares regression line?

a. Correlation will increase, and the slope will increase.

b. Correlation will increase, and the slope will stay the same.

c. Correlation will increase, and the slope will decrease.

d. Correlation will stay the same, and the slope will stay the same.

e. Correlation will stay the same, and the slope will increase.

Short Answer

Expert verified

The correct option is (b).

Step by step solution

01

Given information and Explanation

It is given that xbe as Arm span and ybe the height.

And also,

y⏜=6.4+0.93xx=120y=118

Now, let us find the predicted value as:

y⏜=6.4+0.93x=6.4+0.93(120)=118

As a result, the predicted and actual values are the same, indicating that the point will fall along the regression line. As a result, the data becomes more linear. As a result, the correlation will grow. And because this point has no effect on the regression line, the slope will remain unchanged.

Thus, option (b) is the correct option.

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Using data from the LPGA tour, a regression analysis was performed using x = average driving distance and y = scoring average. Using the output from the regression analysis shown below, determine the equation of the least-squares regression line.

a. y^=87.974+2.391x

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