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U.S. Presidents. The data from Exercise 4.71 for the ages at the inauguration and of death for the presidents of the United States are on the Weissstats site.

a. decide whether use of the linear correlation coefficient as a descriptive measure for the data is appropriate, If so, then also do parts (b) and (c).

b. obtain the linear correlation coefficient.

c. interpret the value of r in terms of the linear relationship between the two variables in question.

Short Answer

Expert verified

a). As a descriptive metric of data, we used the linear correlation coefficient.

b). The linear correlation coefficient =0.609.

c). The positive linear correlation coefficient indicates a somewhat favorable relationship between the inauguration and death of US presidents.

Step by step solution

01

Part (a) Step 1: Given Infromation

The table below shows the ages of the presidents of the United States at their inauguration and death, as calculated using exercise 4.71.

02

Part (a) Step 2: Explanation

Draw a scatter plot for the presidents of the United States' inaugurations and deaths.

As observed in the scatter plot, the data points are distributed along a line.

As a consequence, as a data descriptive metric, we picked the linear correlation coefficient.

03

Part (b) Step 1: Given Information

The table below shows the ages of the presidents of the United States at their inauguration and death, as calculated using exercise 4.71.

04

Part (b) Step 2: Explanation

Any technique may be used to find the correlation coefficient.

We'll begin by inputting the brides and their scores, followed by the ultimate outcome.

Hence,

The linear correlation coefficient =0.609.

05

Part (c) Step 1: Given Information

The table below shows the ages of the presidents of the United States at their inauguration and death, as calculated using exercise 4.71

06

Part (c) Step 2: Explanation

The linear correlation co-efficient r=0.609.

The positive linear correlation coefficient indicates a somewhat favorable relationship between the inauguration and death of US presidents.

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Most popular questions from this chapter

As we noted, because of the regression identity, we can express the coefficient of determination in terms of the total sum of squares and the error sum of squares as r2=1-SSE/SST

a. Explain why this formula shows that the coefficient of determination can also be interpreted as the percentage reduction obtained in the total squared error by using the regression equation instead of the mean. Yยฏ. to predict the observed values of the response variable.

b.

x
6
6
6
2
2
5
4
5
1
4
y
290
280
295
425
384
315
355
325
425
325

What percentage reduction is obtained in the total squared error by using the regression equation instead of the mean of the observed prices to predict the observed prices?

High and Low Temperature. The data from Exercise 4.75 for average high and low temperatures in January for a random sample of 50cities are on the WeissStats site.

a. decide whether use of the linear correlation coefficient as a descriptive measure for the data is appropriate. If so, then also do parts (b) and (c).

b. obtain the linear correlation coefficient.

c. interpret the value of rin terms of the linear relationship between the variables in question.

7. Identify one use of a regression equation.

In Exercise 4.11, we give linear equations. For each equation,

a. find the y-intercept and slope.

b. determine whether the line slopes upward, slopes downward, or is horizontal, without graphing the equation.

c. use two points to graph the equation.

Given equation is,

y=2

Study Time and Score. The negative relation between study time and test score found in Exercise 4.63has been discovered by many investigators. Provide a possible explanation for it.

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