ELEMENTARY STATISTICS W/CONNECT >IP<
ELEMENTARY STATISTICS W/CONNECT >IP<
4th Edition
ISBN: 9781259746826
Author: Bluman
Publisher: MCG
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Textbook Question
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Chapter 10.2, Problem 30E

For Exercises 28 through 33, do a complete regression analysis by performing these steps.

a. Draw a scatter plot.

b. Compute the correlation coefficient.

c. State the hypotheses.

d. Test the hypotheses at α = 0.05. Use Table I.

e. Determine the regression line equation if r is significant.

f. Plot the regression line on the scatter plot, if appropriate.

g. Summarize the results.

30. SAT Scores Educational researchers desired to find out if a relationship exists between the average SAT verbal score and the average SAT mathematical score. Several states were randomly selected, and their SAT average scores are recorded below. Is there sufficient evidence to conclude a relationship between the two scores?

Chapter 10.2, Problem 30E, For Exercises 28 through 33, do a complete regression analysis by performing these steps. a. Draw a

a.

Expert Solution
Check Mark
To determine

To construct: The scatterplot for the variables the average SAT verbal score and the average SAT mathematical score.

Answer to Problem 30E

Output using the MINITAB software is given below:

ELEMENTARY STATISTICS W/CONNECT >IP<, Chapter 10.2, Problem 30E , additional homework tip  1

Explanation of Solution

Given info:

The data shows the average SAT verbal score (x) and the average SAT mathematical score (y) values.

Calculation:

Step by step procedure to obtain scatterplot using the MINITAB software:

  • Choose Graph > Scatterplot.
  • Choose Simple and then click OK.
  • Under Y variables, enter a column of Verbal.
  • Under X variables, enter a column of Math.
  • Click OK.

b.

Expert Solution
Check Mark
To determine

To compute: The value of the correlation coefficient.

Answer to Problem 30E

The value of the correlation coefficient is 0.990.

Explanation of Solution

Calculation:

Correlation coefficient r:

Software Procedure:

Step-by-step procedure to obtain the ‘correlation coefficient’ using the MINITAB software:

  • Select Stat > Basic Statistics > Correlation.
  • In Variables, select x and y from the box on the left.
  • Click OK.

Output using the MINITAB software is given below:

ELEMENTARY STATISTICS W/CONNECT >IP<, Chapter 10.2, Problem 30E , additional homework tip  2

From the MINITAB output, the value of the correlation is 0.990.

c.

Expert Solution
Check Mark
To determine

To state: The hypothesis.

Answer to Problem 30E

The null hypothesis is H0:ρ=0 .

The alternative hypothesis is H1:ρ0 .

Explanation of Solution

Calculation:

The hypotheses are given below:

Null hypothesis:

H0:ρ=0

That is, there is no linear relation between the average SAT verbal score and the average SAT mathematical score.

Alternative hypothesis:

H1:ρ0

That is, there is a linear relation between the average SAT verbal score and the average SAT mathematical score.

d.

Expert Solution
Check Mark
To determine

To test: The significance of the correlation coefficient at α=0.05 using Table I.

Answer to Problem 30E

The conclusion is that, there is sufficient evidence to support the claim that linear relation between the average SAT verbal score and the average SAT mathematical score.

Explanation of Solution

Given info:

The level of significance is α=0.05 and the sample size is 6.

Calculation:

The sample size is 6.

The formula to find the degrees of the freedom is n2 .

That is,

n2=62=4

From the “TABLE –I: Critical Values for the PPMC”, the critical value for 4 degrees of freedom and α=0.05 level of significance is 0.811.

Rejection Rule:

If the absolute value of r is greater than the critical value then reject the null hypothesis.

Conclusion:

From part (b), the value of r is 0.990 That is the absolute value of r is 0.990.

Here, the absolute value of r is greater than the critical value |r|>critical value .

That is, |r|(=0.990)>critical value(=0.811) .

By the rejection rule, reject the null hypothesis.

There is sufficient evidence to support the claim that “there is a linear relation between the average SAT verbal score and the average SAT mathematical score”.

e.

Expert Solution
Check Mark
To determine

To find: The regression equation for the given data.

Answer to Problem 30E

The regression equation for the given data is y^=63.5+0.900x .

Explanation of Solution

Calculation:

Regression:

Software procedure:

Step by step procedure to obtain the regression equation using the MINITAB software:

  • Choose Stat > Regression > Regression.
  • In Responses, enter the column of Math.
  • In Predictors, enter the column of Verbal.
  • Click OK.

Output using the MINITAB software is given below:

ELEMENTARY STATISTICS W/CONNECT >IP<, Chapter 10.2, Problem 30E , additional homework tip  3

Thus, regression equation for the given data is y^=63.5+0.900x .

f.

Expert Solution
Check Mark
To determine

To construct: The scatterplot for the variables the average SAT verbal score and the average SAT mathematical score with regression line.

Answer to Problem 30E

Output using the MINITAB software is given below:

ELEMENTARY STATISTICS W/CONNECT >IP<, Chapter 10.2, Problem 30E , additional homework tip  4

Explanation of Solution

Calculation:

Step by step procedure to obtain scatterplot using the MINITAB software:

  • Choose Graph > Scatterplot.
  • Choose with line and then click OK.
  • Under Y variables, enter a column of Verbal.
  • Under X variables, enter a column of Math.
  • Click OK.

g.

Expert Solution
Check Mark
To determine

To summarize: The results.

Answer to Problem 30E

Explanation of Solution

Justification:

Thus, there is sufficient evidence to support the claim that “there is a linear relation between the average SAT verbal score and the average SAT mathematical score”.

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Chapter 10 Solutions

ELEMENTARY STATISTICS W/CONNECT >IP<

Ch. 10.1 - When two variables are correlated, can the...Ch. 10.1 - For Exercises 11 through 27, perform the following...Ch. 10.1 - Prob. 12ECh. 10.1 - Prob. 13ECh. 10.1 - For Exercises 11 through 27, perform the following...Ch. 10.1 - For Exercises 11 through 27, perform the following...Ch. 10.1 - For Exercises 11 through 27, perform the following...Ch. 10.1 - Prob. 17ECh. 10.1 - Prob. 18ECh. 10.1 - Prob. 19ECh. 10.1 - For Exercises 11 through 27, perform the following...Ch. 10.1 - For Exercises 11 through 27, perform the following...Ch. 10.1 - For Exercises 11 through 27, perform the following...Ch. 10.1 - Prob. 23ECh. 10.1 - For Exercises 11 through 27, perform the following...Ch. 10.1 - Prob. 25ECh. 10.1 - Prob. 26ECh. 10.1 - Prob. 27ECh. 10.1 - Prob. 28ECCh. 10.1 - Prob. 29ECCh. 10.1 - Prob. 30ECCh. 10.2 - Applying the Concepts 102 Stopping Distances...Ch. 10.2 - What two things should be done before one performs...Ch. 10.2 - What are the assumptions for regression analysis?Ch. 10.2 - Prob. 3ECh. 10.2 - What is the symbol for the slope? For the y...Ch. 10.2 - Prob. 5ECh. 10.2 - When all the points fall on the regression line,...Ch. 10.2 - What is the relationship between the sign of the...Ch. 10.2 - As the value of the correlation coefficient...Ch. 10.2 - Prob. 9ECh. 10.2 - When the value of r is not significant, what value...Ch. 10.2 - For Exercises 11 through 27, use the same data as...Ch. 10.2 - Prob. 12ECh. 10.2 - For Exercises 11 through 27, use the same data as...Ch. 10.2 - For Exercises 11 through 27, use the same data as...Ch. 10.2 - For Exercises 11 through 27, use the same data as...Ch. 10.2 - For Exercises 11 through 27, use the same data as...Ch. 10.2 - Prob. 17ECh. 10.2 - Prob. 18ECh. 10.2 - Prob. 19ECh. 10.2 - For Exercises 11 through 27, use the same data as...Ch. 10.2 - For Exercises 11 through 27, use the same data as...Ch. 10.2 - For Exercises 11 through 27, use the same data as...Ch. 10.2 - For Exercises 11 through 27, use the same data as...Ch. 10.2 - For Exercises 11 through 27, use the same data as...Ch. 10.2 - Prob. 25ECh. 10.2 - Prob. 26ECh. 10.2 - For Exercises 11 through 27, use the same data as...Ch. 10.2 - Prob. 28ECh. 10.2 - Prob. 29ECh. 10.2 - For Exercises 28 through 33, do a complete...Ch. 10.2 - For Exercises 28 through 33, do a complete...Ch. 10.2 - For Exercises 28 through 33, do a complete...Ch. 10.2 - Prob. 33ECh. 10.2 - For Exercises 34 and 35, do a complete regression...Ch. 10.2 - For Exercises 34 and 35, do a complete regression...Ch. 10.2 - For Exercises 13, 15, and 21 in Section 101, find...Ch. 10.2 - Prob. 37ECCh. 10.2 - The value of the correlation coefficient can also...Ch. 10.3 - Applying the Concepts 103 Interpreting Simple...Ch. 10.3 - What is meant by the explained variation? How is...Ch. 10.3 - What is meant by the unexplained variation? How is...Ch. 10.3 - What is meant by the total variation? How is it...Ch. 10.3 - Define the coefficient of determination.Ch. 10.3 - How is the coefficient of determination found?Ch. 10.3 - Define the coefficient of nondetermination.Ch. 10.3 - How is the coefficient of nondetermination found?Ch. 10.3 - Prob. 8ECh. 10.3 - Prob. 9ECh. 10.3 - Prob. 10ECh. 10.3 - Prob. 11ECh. 10.3 - Prob. 12ECh. 10.3 - Prob. 13ECh. 10.3 - Prob. 14ECh. 10.3 - Prob. 15ECh. 10.3 - Compute the standard error of the estimate for...Ch. 10.3 - Compute the standard error of the estimate for...Ch. 10.3 - Compute the standard error of the estimate for...Ch. 10.3 - Prob. 19ECh. 10.3 - For the data in Exercises 14 in Sections 101 and...Ch. 10.3 - Prob. 21ECh. 10.3 - Prob. 22ECh. 10.4 - Applying the Concepts 104 More Math Means More...Ch. 10.4 - Explain the similarities and differences between...Ch. 10.4 - What is the general form of the multiple...Ch. 10.4 - Prob. 3ECh. 10.4 - Prob. 4ECh. 10.4 - How do the values of the individual correlation...Ch. 10.4 - Age, GPA, and Income A researcher has determined...Ch. 10.4 - Prob. 7ECh. 10.4 - Prob. 8ECh. 10.4 - Aspects of Students Academic Behavior A college...Ch. 10.4 - Age, Cholesterol, and Sodium A medical researcher...Ch. 10.4 - Explain the meaning of the multiple correlation...Ch. 10.4 - What is the range of values R can assume?Ch. 10.4 - Prob. 13ECh. 10.4 - What are the hypotheses used to test the...Ch. 10.4 - What test is used to test the significance of R?Ch. 10.4 - What is the meaning of the adjusted R2? Why is it...Ch. 10 - Prob. 10.1.1RECh. 10 - For Exercises 1 through 7, do a complete...Ch. 10 - Prob. 10.1.3RECh. 10 - For Exercises 1 through 7, do a complete...Ch. 10 - For Exercises 1 through 7, do a complete...Ch. 10 - For Exercises 1 through 7, do a complete...Ch. 10 - Prob. 10.1.7RECh. 10 - For Exercise 4, find the standard error of the...Ch. 10 - Prob. 10.2.9RECh. 10 - Prob. 10.2.10RECh. 10 - Prob. 10.2.11RECh. 10 - Prob. 10.2.12RECh. 10 - (Opt.) A study found a significant relationship...Ch. 10 - Prob. 10.2.14RECh. 10 - Prob. 10.2.15RECh. 10 - Prob. 1DACh. 10 - Prob. 2DACh. 10 - Prob. 3DACh. 10 - Prob. 1CQCh. 10 - Determine whether each statement is true or false....Ch. 10 - Determine whether each statement is true or false....Ch. 10 - Determine whether each statement is true or false....Ch. 10 - Determine whether each statement is true or false....Ch. 10 - Determine whether each statement is true or false....Ch. 10 - Prob. 7CQCh. 10 - Select the best answer. 8. To test the...Ch. 10 - Select the best answer. 9. The test of...Ch. 10 - Prob. 10CQCh. 10 - Prob. 11CQCh. 10 - Prob. 12CQCh. 10 - Complete the following statements with the best...Ch. 10 - Prob. 14CQCh. 10 - Prob. 15CQCh. 10 - Prob. 16CQCh. 10 - Prob. 17CQCh. 10 - Prob. 18CQCh. 10 - Prob. 19CQCh. 10 - Prob. 20CQCh. 10 - Prob. 21CQCh. 10 - Prob. 22CQCh. 10 - Prob. 23CQCh. 10 - For Exercise 20, find the 90% prediction interval...Ch. 10 - Prob. 25CQCh. 10 - Prob. 26CQCh. 10 - (Opt.) Find R when ryx1 = 0.561 and ryx2 = 0.714...Ch. 10 - Prob. 28CQCh. 10 - Prob. 1CTCCh. 10 - Prob. 2CTCCh. 10 - Prob. 3CTCCh. 10 - Prob. 4CTCCh. 10 - Product Sales When the points in a scatter plot...Ch. 10 - Prob. 6CTCCh. 10 - Prob. 7CTCCh. 10 - Product Sales When the points in a scatter plot...Ch. 10 - Prob. 9CTC
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