An Introduction to Statistical Methods and Data Analysis
7th Edition
ISBN: 9781305269477
Author: R. Lyman Ott, Micheal T. Longnecker
Publisher: Cengage Learning
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The following Minitab display gives information regarding the relationship between the body weight of a child (in kilograms) and the metabolic rate of the child (in 100 kcal/ 24 hr).
Predictor Coef SE Coef T PConstant 0.8570 0.4148 2.06 0.84Weight 0.38243 0.02978 13.52 0.000
S = 0.517508 R-Sq = 97.4%
(a) Write out the least-squares equation.
y^= ______ + _____x
(b) For each 1 kilogram increase in weight, how much does the metabolic rate of a child increase? (Use 5 decimal places.)
The following table shows students’ test scores on the first two tests in an introductory physics class. Physics Test Scores
First test, x
7373
6161
6969
4242
8888
8787
4242
4444
4040
4848
6868
6464
Second test, y
7474
6262
6262
4343
7878
6969
3838
4343
3030
4848
6666
5454
Step 1 of 2 :
Find an equation of the least-squares regression line. Round your answer to three decimal places, if necessary.
Step 2 of 2 :
If a sudent scored a 75 on his first paper, make a prediction for his score on the second test. Assume the regression equation is appropriate for prediction. Round your answer to two decimal places, if necessary.
Table 14.17
The Least Squares Point Estimates for Exercise 14.51
Bo = 10.3676 (.3710)
B1 = .0500 (<.001)
B2 = 6.3218 (.0152)
B3 = -11.1032 (.0635)
B4 = -.4319 (.0002)
Questions
Using the t statistic and appropriate critical values, test Ho: βj = 0 versus Ha: βj ≠ 0 by setting α equal to .05. Which independent variables are significantly related to y in the model with α = .05?
Using the t statistic and appropriate critical values, test Ho: βj = 0 versus Ha: βj ≠ 0 by setting α equal to .01. Which independent variables are significantly related to y in the model with α = .01?
Find the p-value for testing Ho: βj = 0 versus Ha: βj ≠ 0 on the output. Using the p-value, determine whether we can reject Ho by setting α equal to .10, .05, .01, and .001. What do you conclude about the significance of the independent variables in the model?
Calculate the 95 percent confidence interval for βj. Discuss one practical application of this interval.
Calculate the 99 percent confidence interval for…
Chapter 11 Solutions
An Introduction to Statistical Methods and Data Analysis
Ch. 11.9 - Prob. 1ECh. 11.9 - Refer to Exercise 11.1.
Plot the equation in the...Ch. 11.9 - Use the data given here to answer the following...Ch. 11.9 - Prob. 4ECh. 11.9 - Use the output from Minitab for these data to...Ch. 11.9 - A food processor was receiving complaints from its...Ch. 11.9 - An online retailer needs to manage the amount of...Ch. 11.9 - A manufacturer of cases for sound equipment...Ch. 11.9 - Refer to the data of Exercise 11.7. a. Calculate a...Ch. 11.9 - Refer to the data of Exercise 11.8.
Calculate a...
Ch. 11.9 - Refer to the data of Exercise 11.8.
Calculate a...Ch. 11.9 - Athletes are constantly seeking measures of the...Ch. 11.9 - A firm that prints automobile bumper stickers...Ch. 11.9 - A chemist is interested in determining the weight...Ch. 11.9 - Refer to Exercise 11.22 to complete the following....Ch. 11.9 - Prob. 40ECh. 11.9 - A survey of MBA, graduates of a business school...Ch. 11.9 - Refer to the data in Exercise 11.44.
Determine the...Ch. 11.9 - There has been an increasing emphasis in recent...Ch. 11.9 - An air conditioning company responds to calls...Ch. 11.9 - Refer to Exercise 11.61. a. Calculate the...Ch. 11.9 - Refer to Exercise 11.61.
Test for lack of fit for...Ch. 11.9 - Refer to Exercise 11.61.
Compute the standard...Ch. 11.9 - Prob. 93SE
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- The Bureau of Labor Statistics looked at the associationbetween students’ GPAs in high school (gpa_HS) andtheir freshmen GPAs at a University of California school(gpa_U). The resulting least-squares regression equationis gpa_U = 0.22 + 0.72gpa_HS. Calculate the residualfor a student with a 3.8 in high school who achieveda freshman GPA of 3.5.A) -0.844 B) -0.544 C) 2.956D) 0.544 E) 0.844arrow_forwardThe following Minitab display gives information regarding the relationship between the body weight of a child (in kilograms) and the metabolic rate of the child (in 100 kcal/ 24 hr). Predictor Coef SE Coef T P Constant 0.8462 0.4148 2.06 0.84 Weight 0.40592 0.02978 13.52 0.000 S = 0.517508 R-Sq = 95.6% (a) Write out the least-squares equation. = + x (b) For each 1 kilogram increase in weight, how much does the metabolic rate of a child increase? (Use 5 decimal places.)(c) What is the value of the correlation coefficient r? (Use 3 decimal places.)arrow_forwardConsider the following table containing unemployment rates for a 10-year period. Unemployment Rates Year Unemployment Rate (%) 1 5.85.8 2 3.23.2 3 5.55.5 4 8.68.6 5 6.16.1 6 6.86.8 7 7.57.5 8 5.25.2 9 11.111.1 10 7.47.4 Step 1 of 2 : Given the model Estimated Unemployment Rate=β0+β1(Year)+εi,Estimated Unemployment Rate=�0+�1(Year)+��, write the estimated regression equation using the least squares estimates for β0�0 and β1�1. Round your answers to two decimal places.arrow_forward
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