/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Q. R12.4 R12.4 Long legs Construct and in... [FREE SOLUTION] | 91影视

91影视

R12.4 Long legs Construct and interpret a 95% confidence interval for the slope of the population regression line. Assume that the conditions for inference are met. Explain how the interval provides more information than the test in R12.3.

Short Answer

Expert verified

A 95% confidence level that the true regression line's slope is between -1.3168396 and -0.5253604.

Step by step solution

01

Given information

To construct and interpret a 95% confidence interval for the slope of the population regression line

02

Explanation

A analysis was conducted to see if taller students needed fewer steps to go a certain distance. The box plot in the question indicates the link between height and the number of steps needed to walk down the school corridor. And it's been assumed that the inference requirements are met.
As a result, it is assumed that
n=36
=0.05
The slope b1 is calculated as follows in the computer output's row "Height" and column "Coef":
b1=-0.9211
In the row "Height" and the column "SE Coef" of the given computer output, the standard error of the slope SEb1is provided as:
SEb1=0.1938

03

Explanation

To find the degrees of freedom, as follows:
df=n-2
=36-2
=34
The t-value can then be discovered in the T-distribution table of the student.
t*=2.042
As a result, the confidence interval is as follows:
b-t*SEb
=-0.9211-2.0420.1938
=-1.3168396
b+t*SEb
=-0.9211+2.0420.1938
=-0.5253604
As a result, a 95% confidence level that the true regression line's slope is between -1.3168396 and -0.5253604.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with 91影视!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

Boyle's law If you have taken a chemistry or physics class, then you are probably familiar with Boyle's law: for gas in a confined space kept at a constant temperature, pressure times volume is a constant (in symbols, PV=kPV=k). Students in a chemistry class collected data on pressure and volume using a syringe and a pressure probe. If the true relationship between the pressure and volume of the gas is PV=k,PV=k, then

P=k1VP=k1V

Here is a graph of pressure versus a volume, 1volume, along with output from a linear regression analysis using these variables:

a. Give the equation of the least-squares regression line. Define any variables you use.

b. Use the model from part (a) to predict the pressure in the syringe when the volume is 17cubic centimeters.

Marcella takes a shower every morning when she gets up. Her time in the shower varies according to a Normal distribution with mean 4.5minutes and standard deviation 0.9minutes.

a. Find the probability that Marcella鈥檚 shower lasts between 3and 6minutes on a randomly selected day.

b. If Marcella took a 7minute shower, would it be classified as an outlier by the 1.5IQRrule? Justify your answer.

c. Suppose we choose 10days at random and record the length of Marcella鈥檚 shower each day. What鈥檚 the probability that her shower time is 7minutes or greater on at least 2of the days?

d. Find the probability that the mean length of her shower times on these 10 days exceeds5 minutes.

The swinging pendulum Refer to Exercise 33. We took the logarithm (base 10) of the values for both length and period. Here is some computer output from a linear regression analysis of the transformed data.


a. Based on the output, explain why it would be reasonable to use a power model to describe the relationship between the length and period of a pendulum.

b. Give the equation of the least-squares regression line. Be sure to define any variables you use.

c. Use the model from part (b) to predict the period of a pendulum with a length of 80cm.

The school board in a certain school district obtained a random sample of 200residents and asked if they were in favor of raising property taxes to fund the hiring of more statistics teachers. The resulting confidence interval for the true proportion of residents in favor of raising taxes was (0.183,0.257). Which of the following is the margin of error for this confidence interval?

a. 0.037

b. 0.074

c. 0.183

d. 0.220

e.0.257

Exercises T12.4鈥揟12.8 refer to the following setting. An old saying in golf is 鈥淵ou drive for show and you putt for dough.鈥 The point is that good putting is more important than long driving for shooting low scores and hence winning money. To see if this is the case, data from a random sample of 69 of the nearly 1000 players on the PGA Tour鈥檚 world money list are examined. The average number of putts per hole (fewer is better) and the player鈥檚 total winnings for the previous season are recorded and a least-squares regression line was fitted to the data. Assume the conditions for
inference about the slope are met. Here is computer output from the regression analysis:

T12.4 By about how much does the sample slope typically vary from the population slope in repeated random samples of n=69 golfers?
a. 7,897,179
b. 1,698,371
c. 3,023,782
d. 281,777
e. 鈭4,139,198

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.