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U.S. Presidents. The Information Please Almanac provides data on the ages at the inauguration and death of the presidents of the United States. We give those data on the WeissStats site for those residents who are not still living at the time of this writing.

Short Answer

Expert verified

a). 9.705is the estimate's standard error.

b). The residual plots and normal probability are generated.

c). The regression inference assumptions for the variables death and inauguration are not violated.

Step by step solution

01

Part (a) Step 1: Given Information

The Information Please Almanac provides data on the ages at the inauguration and death of the presidents of the United States.

02

Part (a) Step 2: Explanation

MINITAB can be used to calculate the standard error of an estimate. The procedure with MINITAB:

Select Stat > Regression > Regression as the first step.

Step 2: Fill in the Death field in the Response column.

Step 3: Add the Inauguration column to Predictors.

Step 4: Select OK from the drop-down menu.

MINITAB output:

03

Part (b) Step 1: Given Information

The Information Please Almanac provides data on the ages at the inauguration and death of the presidents of the United States.

04

Part (b) Step 2: Explanation

Using MINITAB, create a residual plot.

The procedure with MINITAB:

Select Stat >Regression >Regression as the first step.

Step 2: Fill in the Death field in the Response column.

Step 3: Add the Inauguration column to Predictors.

Step 4: Under Residuals versus the variables, enter the columns Inauguration in Graphs.

Step 5: Select OK from the drop-down menu.

Output MINITAB:

MINITAB is used to create a residuals normal probability graphic.

The procedure with MINITAB:

Select Stat >Regression >Regression as the first step.

Step 2: Fill in the Death field in the Response column.

Step 3: Add the Inauguration column to Predictors.

Select Normal probability plot of residuals from the Graphs menu.

Step 5: Select OK from the drop-down menu.

Output MINITAB:

05

Part (c) Step 1: Given Information

The Information Please Almanac provides data on the ages at the inauguration and death of the presidents of the United States.

06

Part (c) Step 2: Explanation

Regression conclusions are based on the following assumptions:

Regression line of the population:

For each value of Xof predictor variable, the conditional mean of the response variable (Y)is β0+β1X.

The standard deviation is the same for both groups:

The response variable's standard deviation is the same as the explanatory variable's standard deviation. σis the symbol for standard deviation.

Populations in the normal range:

The response variable has a normally distributed distribution.

The observations of the response variable are independent of one another.

Examine the graph for evidence of a violation of one or more of the regression inference assumptions.

- The residual plot clearly shows that the residuals lie within the horizontal band.

- The residuals are clearly linear based on the normal probability plot.

As a result, the regression inference assumptions for the variables death and inauguration are not violated.

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Most popular questions from this chapter

Gas Guzzlers. The data from Exercise 14.41 for gas mileage and engine displacement of 121 vehicles are on the WeissStats site. Specified value of the predictor variable: 3.0L.

a. Decide whether you can reasonably apply the conditional mean and predicted value t-interval procedures to the data. If so, then also do parts (b)-(f).

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%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).

Plant Emissions. Use the data on plant weight and quantity of volatile emissions from Exercise 14.25.

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 Assumptionsfor regression inferences to be met by the variables under consideration. (The answer here is subjective, especially in view of the extremely small sample sizes.)

Movie Grosses. The data from Exercise14.36 on domestic and overseas grosses for a random sample of 50 movies are on the WeissStats site.

Movie Grosses. Box Office Mojo collects and posts data on movie grosses. For a random sample of 50 movies, we obtained both the domestic (U.S.) and overseas grosses, in millions of dollars. The data are presented on the WeissStats site.

In this Exercise 14.54, we repeat the information from Exercise 14.18.

a. Decide, at the 10%significance level, whether the data provide sufficient evidence to conclude that xis useful for predicting y:

b. Find a 90%confidence interval for the slope of the population regression line.

role="math" localid="1652363608630" x1344y8031 y^=9-2x

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