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AP Statistics 9.2 Confidence Intervals for the Slope of a Regression Model- MCQs - Exam Style Questions

Question

Measuring the height of a tree is usually more difficult than measuring the diameter of the tree. Therefore, many researchers use regression models to predict the height of a tree from its diameter measured at \(4\) feet \(6\) inches from the ground. The following computer output shows the results of a linear regression based on the heights, in feet, and the diameters, in inches, recorded from \(31\) felled trees.
 EstimateStd Errort value\(\Pr(>\lvert t\rvert)\)
Intercept\(62.031\)\(4.383\)\(14.15\)\(0.0000\)
Diameter\(1.054\)\(0.322\)\(3.27\)\(0.0028\)
Which of the following is a \(95\%\) confidence interval for the slope of the population regression line?
(A) \((0.001,\, 2.107)\)
(B) \((0.396,\, 1.712)\)
(C) \((0.423,\, 1.685)\)
(D) \((0.732,\, 1.376)\)
(E) \((53.07,\, 70.99)\)
▶️ Answer/Explanation
Detailed solution

Let \(b\) be the sample slope and \(\mathrm{SE}_b\) its standard error. A \(95\%\) CI for the population slope is \(b \pm t^{\star}\,\mathrm{SE}_b\) with \(df=n-2\).
Here, \(b=1.054\), \(\mathrm{SE}_b=0.322\), and \(n=31\Rightarrow df=31-2=29\).
For \(df=29\), \(t^{\star}\approx 2.045\) (two-sided \(95\%\)).
Margin of error \(= t^{\star}\,\mathrm{SE}_b = 2.045\times 0.322 \approx 0.659\).
Interval \(= 1.054 \pm 0.659 \Rightarrow (1.054-0.659,\; 1.054+0.659)\).
This gives \((0.396,\; 1.712)\).
Answer: (B)

Question

A 90 percent confidence interval for the slope of a regression line is determined to be (-0.181, 1.529). Which of the following statements must be true?
(A) The correlation coefficient of the data is positive.
(B) The sum of the residuals for the data based on the regression line is positive.
(C) A scatterplot of the data would show a linear pattern.
(D) The slope of the sample regression line is 1.348.
(E) The slope of the sample regression line is 0.
▶️ Answer/Explanation
Detailed solution

The sample slope, \(b\), is the point estimate and therefore the center of the confidence interval.

Sample slope \(b = \frac{-0.181 + 1.529}{2} = \frac{1.348}{2} = 0.674\)

Since the sample slope (\(b\)) is positive (\(0.674\)), the sample correlation coefficient (\(r\)) must also be positive, as they always share the same sign.
Answer: (A)

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