Warning: foreach() argument must be of type array|object, bool given in /var/www/html/web/app/themes/studypress-core-theme/template-parts/header/mobile-offcanvas.php on line 20

U.S. Presidents. The data from Exercise 14.35 for the ages at inauguration and of death of the presidents of the United States are on the WeissStats site. Do the data provide sufficient evidence to conclude that, for U.S. presidents, age at inauguration and age at death are positively linearly correlated?

Short Answer

Expert verified

For U.S. presidents, age at inauguration and age at death are positively linearly correlated at 5% significance level.

Step by step solution

01

Step 1:Given information

The data from Exercise 14.35 for the ages at inauguration and of death of the presidents of the United States are on the WeissStats site.

02

Step 2:Explaination

Check whether or not it is reasonably apply the correlation t-test procedure by using the data from Exercise 14.35.

- From the residual plot, it is clear that the residuals are fall in the horizontal band.

- From the normal probability plot of residuals, it is clear that the residuals are in the linear pattern.

Hence, the assumptions for the regression inferences are not violated for the variables inauguration and death.

Check whether the data provide sufficient evidence to conclude that, for U.S. presidents, age at inauguration and age at death are positively linearly correlated.

The test hypotheses are as follows:

Null hypothesis:

H0:ρ=0

That is, the inauguration ages and the death ages of U.S. presidents are not positively linearly correlated.

Alternative hypothesis:

Ha:ρ>0

That is, the inauguration ages and the death ages of U.S. presidents are positively linearly correlated.

Obtain the correlation and P-value between inauguration and death by using MINITAB.

MINITAB procedure:

Step 1: Select Stat >Basic Statistics > Correlation.

Step 2: In Variables, select inauguration and death from the box on the left.

Step 3: Click OK.

MINITAB output:

Correlation: INAUGURATION, DEATH

Pearson correlation of INAUGURATION and DEATH =0.606

P-Value=0.000

From the above MINITAB output, the value of correlation between inauguration and death is

0.606and the P-value for right-tail test is 0.000=0.0002.

Conclusion:

Use the significance level, α=0.05.

Here, p-value is less than the level of significance.

That is, p-value (=0.000)<α(=0.05).

Therefore, by the rejection rule, it can be concluded that there is evidence to reject the null hypothesis H0at α=0.05

Thus, the data provide sufficient evidence to conclude that, for U.S. presidents, age at inauguration and age at death are positively linearly correlated at 5%significance level.

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 Vaia!

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

Find a 95%prediction interval for the value of the response variable corresponding to the specified value of the predictor variable.

In Exercises 14.98-14.108, use the technology of your choice to do the following tasks.
a. Decide whether your can reasonably apply the conditional mean and predicted value t-interval procedures to the data. If so, then also do parts (b) - (h).
b. Determine and interpret a point estimate for the conditional mean of the response variable corresponding to the specified value of the predictor variable.
c. Find and interpret a 95%Te confidence interval for the conditional mean of the response variable corresponding to the specified value of the predictor variable.
d. Determine and interpret the predicted value of the response variable corresponding to the specified value of the predictor variable.
e. Find and interpret a 95%prediction interval for the value of the response variable corresponding to the specified value of the predictor variable.
f. Compare and discuss the differences between the confidence interval that you obtained in part (c) and the prediction interval that you obtained in part (e).

14.10 PCBs and Pelicans. The data from Exercise 14.40for shell thickness and concentration of PCBs of 60Anacapa pelican eggs are on the WeissStats site. Specified value of the predictor variable: 220ppm.

In Exercises 14.12-14.21, we repeat the data and provide the sample regression equations for Exercises 4.48 -4.57.

a. Determine the standard error of the estimate.

b. Construct a residual plot.

c. Construct a normal probability plot of the residuals.

y^=1+2x

Following are the data on the percentage of investments in energy securities and tax efficiency95%,α=0.05 . find and interpret a confidence interval, at the specified confidence level, for the slope of the population regression line that relates the response variable to the predictor variable.

14.22 Tax Efficiency. Tax efficiency is a measure ranging from 0 to 100 - of how much tax due to capital gains stock or mutual funds investors pay on their investments each year, the higher the tax efficiency, the lower the tax. The paper "At the Mercy of the Manager" (Financial Planning, Vol. 30(5), pp. 54-56 ) by C. Israelsen examined the relationship between investments in mutual fund portfolios and their associated tax efficiencies. The following table shows the percentage of investments in energy securities (x)and tax efficiency (y)for 10 mutual fund portfolios.

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.

Sign-up for free