Essentials Of Statistics For Business & Economics
9th Edition
ISBN: 9780357045435
Author: David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran
Publisher: South-Western College Pub
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Textbook Question
Chapter 15.5, Problem 20E
Refer to the data presented in exercise 2. The estimated regression equation for these data is
Here SST = 15,182.9, SSR = 14,052.2,
- a. Test for a significant relationship among x1, x2, and y. Use α = .05.
- b. Is β1 significant? Use α = .05.
- c. Is β2 significant? Use α = .05.
- 1. Consider the following data for a dependent variable y and two independent variables, x1 and x2.
- a. Develop an estimated regression equation relating y to x1. Predict y if x1 = 47.
- b. Develop an estimated regression equation relating y to x2. Predict y if x2 = 10.
- c. Develop an estimated regression equation relating y to x1 and x2. Predict y if x1 = 47 and x2 = 10.
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The table below gives the number of hours seven randomly selected students spent studying and their corresponding midterm exam grades. Using this data, consider the equation of the regression line, yˆ=b0+b1x�^=�0+�1�, for predicting the midterm exam grade that a student will earn based on the number of hours spent studying. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant.
Hours Studying
1
2
3
3.5
4
4.5
5
Midterm Grades
60
66
73
76
78
84
90
Table
Copy Data
Step 1 of 6:
Find the estimated slope. Round your answer to three decimal places.
The table below gives the number of hours seven randomly selected students spent studying and their corresponding midterm exam grades. Using this data, consider the equation of the regression line, yˆ=b0+b1x�^=�0+�1�, for predicting the midterm exam grade that a student will earn based on the number of hours spent studying. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant.
Hours Studying
11
1.51.5
2.52.5
33
44
4.54.5
55
Midterm Grades
6666
6969
7575
7979
9090
9595
9898
Find the estimated slope. Round your answer to three decimal places.
Find the estimated y-intercept. Round your answer to three decimal places.
Determine if the statement "Not all points predicted by the linear model fall on the same line" is true or false.…
Chapter 15 Solutions
Essentials Of Statistics For Business & Economics
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