EBK MODERN BUSINESS STATISTICS WITH MIC
5th Edition
ISBN: 9780100475038
Author: williams
Publisher: YUZU
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Textbook Question
Chapter 14.3, Problem 16E
The data from exercise 2 follow.
The estimated regression equation for these data is
- a. Compute SSE, SST, and SSR.
- b. Compute the coefficient of determination r2. Comment on the goodness of fit.
- c. Compute the sample
correlation coefficient .
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The table below gives the number of hours five randomly selected students spent studying and their corresponding midterm exam grades. Using this data, consider the equation of the regression line. ^y=b0+b1x 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
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Midterm Grades
60
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100
Find the error prediction when x= 5. Round your answer to three decimal places.
* What we know:
Estimated slope b1=9.700Estimated intercept b0=46.200
The table below gives the number of absences and the overall grade in the class for seven randomly selected students. Based on this data, consider the equation of the regression line, yˆ=b0+b1x�^=�0+�1�, for using the number of absences to predict a student's overall grade in the class. 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.
Number of Absences Grade1 3.72 3.33 3.14 2.96 2.47 2.28 1.9
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.
Chapter 14 Solutions
EBK MODERN BUSINESS STATISTICS WITH MIC
Ch. 14.2 - Given are five observations for two variables, x...Ch. 14.2 - Given are five observations for two variables, x...Ch. 14.2 - Given are five observations collected in a...Ch. 14.2 - Retail and Trade: Female Managers. The following...Ch. 14.2 - Production Line Speed and Quality Control. Brawdy...Ch. 14.2 - The National Football League (NFL) records a...Ch. 14.2 - Sales Experience and Performance. A sales manager...Ch. 14.2 - Broker Satisfaction. The American Association of...Ch. 14.2 - Companies in the U.S. car rental market vary...Ch. 14.2 - Prob. 10E
Ch. 14.2 - Laptop Ratings. To help consumers in purchasing a...Ch. 14.2 - Prob. 12ECh. 14.2 - Distance and Absenteeism. A large city hospital...Ch. 14.2 - Using a global-positioning-system (GPS)-based...Ch. 14.3 - 15. The data from exercise 1...Ch. 14.3 - The data from exercise 2 follow.
The estimated...Ch. 14.3 - Prob. 17ECh. 14.3 - Price and Quality of Headphones. The following...Ch. 14.3 - Sales Experience and Sales Performance. In...Ch. 14.3 - Price and Weight of Bicycles. Bicycling, the...Ch. 14.3 - Cost Estimation. An important application of...Ch. 14.3 - 22. Refer to exercise 9, where the following data...Ch. 14.5 - The data from exercise 1 follow.
Compute the mean...Ch. 14.5 - The data from exercise 2 follow.
Compute the mean...Ch. 14.5 - The data from exercise 3 follow.
What is the...Ch. 14.5 - Prob. 26ECh. 14.5 - Prob. 27ECh. 14.5 - Broker Satisfaction Conclusion. In exercise 8,...Ch. 14.5 - Cost Estimation Conclusion. Refer to exercise 21,...Ch. 14.5 - Significance of Fleet Size on Rental Car Revenue....Ch. 14.5 - Significance of Racing Bike Weight on Price. In...Ch. 14.6 - 32. The data from exercise 1...Ch. 14.6 - 33. The data from exercise 2...Ch. 14.6 - Prob. 34ECh. 14.6 - 35. The following data are the monthly salaries y...Ch. 14.6 - 36. In exercise 7, the data on y = annual sales ($...Ch. 14.6 - In exercise 5, the following data on x = the...Ch. 14.6 - Prob. 38ECh. 14.6 - 39. In exercise 12, the following data on x =...Ch. 14.7 - The commercial division of a real estate firm...Ch. 14.7 - Following is a portion of the regression output...Ch. 14.7 - Out-of-state tuition and fees at the top graduate...Ch. 14.7 - Auto Racing Helmet. Automobile racing,...Ch. 14.8 - Prob. 45ECh. 14.8 - Prob. 46ECh. 14.8 - Prob. 47ECh. 14.8 - Prob. 48ECh. 14.8 - Prob. 49ECh. 14.9 - Consider the following data for two variables, x...Ch. 14.9 - Prob. 51ECh. 14.9 - Predicting Charity Expenses. Charity Navigator is...Ch. 14.9 - Many countries, especially those in Europe, have...Ch. 14.9 - Prob. 54ECh. 14 - The Dow Jones Industrial Average (DJIA) and the...Ch. 14 - Prob. 56SECh. 14 - Prob. 57SECh. 14 - Machine Maintenance. Jensen Tire & Auto is in the...Ch. 14 - Bus Maintenance. The regional transit authority...Ch. 14 - Reuters reported the market beta for Xerox was...Ch. 14 - Used Car Mileage and Price. The Toyota Camry is...Ch. 14 - Prob. 62SECh. 14 - One measure of the risk or volatility of an...Ch. 14 - As part of a study on transportation safety, the...Ch. 14 - Consumer Reports tested 166 different...Ch. 14 - When trying to decide what car to buy, real value...
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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 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.…arrow_forwardThe 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 Step 2 of 6: Find the estimated y-intercept. Round your answer to three decimal places. Step 3 of 6: Find the estimated value of y when x=2�=2. Round your answer to three decimal places. Step 4 of 6: Substitute the values you found in steps 1 and 2 into the equation for the regression line to find the estimated…arrow_forwardThe table below gives the number of hours ten randomly selected students spent studying and their corresponding midterm exam grades. Using this data, consider the equation of the regression line, yˆ=b0+b1x, 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 0 0.5 1.5 2 2.5 3 4.5 5 5.5 6 Midterms Grades 60 63 64 69 73 76 82 90 91 95 Step 1 of 6: Find the estimated slope. Round your answer to three decimal places. Step 2 of 6: Find the estimated y-intercept. Round your answer to three decimal places. Step 3 of 6: Determine if the statement "All points predicted by the linear model fall on the same line" is true or false Step 4 of 6:…arrow_forward
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