IMR and Life Expectancy. From the International Data Base, published by the U.S. Census Burcau, we obtained data on infant mortality rate (IMR) and life expectancy (LE), in years, for a sample of 60 countries. The data are presented on the WeissStats site.

- For the estimations and predictions, use an IMR of 30 .

- For the correlation test, decide whether IMR and life expectancy are negatively linearly correlated.

Short Answer

Expert verified

.

Step by step solution

01

Step 1:Given information

IMR and Life Expectancy. From the International Data Base, published by the U.S. Census Burcau, we obtained data on infant mortality rate (IMR) and life expectancy (LE), in years, for a sample of 60 countries. The data are presented on the WeissStats site.

- For the estimations and predictions, use an IMR of 30 .

- For the correlation test, decide whether IMR and life expectancy are negatively linearly correlated.

a. defermine the sample regression equation.

b. find and inferpret the standard ernor of the estimate.

c. decide, at the 5 se sigmificance level, whether the data provide suf. ficiemt eviderte to comclude that the predicfor wariable is useful forpredicting the response variable.

d. determine and interpret a point estimate for the condifional mean of the respomse variable correspomding to the specified tahue of the predictor variable.

e. find comd inferpret a $955-$comfidence inferwi for the comdifiond ment of the nesponse variable correspomdins to the specifiet Walue of the predictor variable.

f. defermine curd inferpref the predicted value of the hespontie teari able corresporalime to the specified iultwe of the predictor tariable.

g. find und inferpret a $95 \%$ prediction imterval for the value of the respomse variable corresponding fo the specified valte of the predicfor variable.

h. compare and discuss the differences befueen the confidence infer. val that you obtained in part $(e)$ ard the prediction imfervi that you obtained in part $(g)$.

i. perform and inferpref the required cerrelation $t$-fest at the 5 fe significance level.

j. perform a residual andysis fo decide whether making the preceding inferences is reasomable. Explain your arswer.

02

Step 2:Explaination Part a)

.

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 a95%prediction interval for the value of the response variable corresponding to the specified value of the predictor variable.

a. Obtain a point estimate for the mean tax efficiency of all mutual fund portfolios with6%of their investments in energy securities.

b. Determine a95%confidence interval for the mean tax efficiency of all mutual fund portfolios with6%of their investments in energy securities.

c. Find the predicted tax efficiency of a mutual fund portfolio with 6%of its investments in energy securities.

d. Determine a 95%prediction interval for the tax efficiency of a mutual fund portfolio with 6%of its investments in energy securities.

Custom Homes. Use the size and price data for custom homes from Exercise 14.24.

a. compute the standard error of the estimate and interpret your answer

b. interpret your result from part (a) if the assumptions for regression inferences hold.

c. obtain a residual plot and a normal probability plot of the residuals.

d. decide whether you can reasonably consider Assumptions 1-3for regression inferences to be met by the variables under consideration. (The answer here is subjective, especially in view of the extremely small sample sizes.)

14.75 High and Low Temperature. The data from Exercise 14.39for average high and low temperatures in January for a random sample of 50cities are on the WeissStats site.

a. Decide whether you can reasonably apply the regression t-test. If so, then also do part b.

b. Decide, at the 5%significance level, whether the data provide sufficient evidence to conclude that the predictor variable is useful for predicting the response variable.

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

To find and interpret a confidence interval , at the specified confidence level 99%for the slope of the population regression line that relates the response variables to the predictor variable.

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