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T12.3 Inference about the slope β1 of a least-squares regression line is based on which of
the following distributions?
a. The tdistribution with n1 degrees of freedom
b. The standard Normal distribution
c. The chi-square distribution with n1 degrees of freedom
d. The t distribution with n-2 degrees of freedom
e. The Normal distribution with mean μ and standard deviation σ.

Short Answer

Expert verified

The correct answer is option (d) The tdistribution with n-2 degrees of freedom.

Step by step solution

01

Given information

To inference about the slope β1 of a least-squares regression line is based on which of the following distributions.

02

Explanation

To figure out the below distributions biases inference about a least-squares regression line's slope β1.
To establish the least square regression line, two parameters must be estimated: the y-intercept and the slope.
The t-distribution with degrees of freedom equal to the sample size n minus the number of calculated parameters becomes the appropriate distribution.
As a result,
df=n-2
Therefore, the correct answer is option (d).

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Most popular questions from this chapter

SAT Math scores Is there a relationship between the percent of high school graduates in each state who took the SAT and the state’s mean SAT Math score? Here is a residual plot from a linear regression analysis that used data from all 50states in a recent year. Explain why the conditions for performing inference about the slope β1 of the population regression line are not met.

Park rangers are interested in estimating the weight of the bears that inhabit their state. The rangers have data on weight (in pounds) and neck girth (distance around the neck in inches) for 10randomly selected bears. Here is some regression output for these data:

Which of the following represents a 95% confidence interval for the slope of the population least-squares regression line relating the weight of a bear and its neck girth?

a. 20.230±1.695

b. 20.230±3.83

c. 20.230±3.91

d. 20.230±20.22

e. 26.7565±3.83

T12.2 Students in a statistics class drew circles of varying diameters and counted how many Cheerios could be placed in the circle. The scatterplot shows the results. The students want to determine an appropriate equation for the relationship between diameter and the number of Cheerios. The students decide to transform the data to make it appear more linear before computing a least-squares regression line. Which of the following transformations would be reasonable for them to try?

I. Plot the square root of the number of Cheerios against diameter.
II. Plot the cube of the number of Cheerios against diameter.
III. Plot the log of the number of Cheerios against the log of the diameter.
IV. Plot the number of Cheerios against the log of the diameter.

a. I and II
b. I and III
c. II and III
d. II and IV
e. I and IV

Beer and BAC Refer to Exercise 5. Here is computer output from the least-squares regression analysis of the beer and blood alcohol data.

a. What is the estimate for β0? Interpret this value.

b. What is the estimate for β1? Interpret this value.

c. What is the estimate for σ? Interpret this value.

d. Give the standard error of the slope SEb1. Interpret this value.

The students in Mr. Shenk’s class measured the arm spans and heights (in inches) of a random sample of 18students from their large high school. Here is computer output from a least-squares regression analysis of these data. Construct and interpret a 90%confidence interval for the slope of the population regression line. Assume that the conditions for performing inference are met.

PredictorCoefStdevt-ratioPConstant11.5475.6002.060.056Armspan0.840420.0809110.390.000S=1.613R-Sq=87.1%R-Sq(adj)=86.3%

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