Intro Stats
Intro Stats
4th Edition
ISBN: 9780321826275
Author: Richard D. De Veaux
Publisher: PEARSON
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Chapter 7, Problem 63E

a.

To determine

Obtain a scatterplot of calories vs. fat.

b.

To determine

Interpret the meaning of R2 in this context.

c.

To determine

Find the equation of the regression line.

d.

To determine

Explain whether the linear model is appropriate using the residual plot.

e.

To determine

Explain the meaning of y-intercept of the line.

f.

To determine

Explain the meaning of slope of the line.

g.

To determine

Find the amount of calories in the burger for the corresponding fat.

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You have to examine the relationship between the age and price for used instrument sold in the last year by a company. Here is the table of the data:     a. Determine the degree of relationship between in instument’s age and the price. b. Identify the equation of linear regression. c. How much will a used instrument worth after 6 years? 12 years? 15 years? d. Explain the predicting capability of the equation.
Armer Company is accumulating data to use in preparing its annual profit plan for the coming year. The cost behavior pattern of the maintenance costs must be determined. The accounting staff has suggested the use of linear regression to derive an equation for maintenance hours and costs. Data regarding the maintenance hours and costs for the last year and the results of the regression analysis follow:  Month Maintenance Cost Machine Hours Jan. $ 4,200     480   Feb.   3,000     320   Mar.   3,600     400   Apr.   2,820     300   May   4,350     500   June   2,960     310   July   3,030     320   Aug.   4,470     520   Sept.   4,260     490   Oct.   4,050     470   Nov.   3,300     350   Dec.   3,160     340   Sum $ 43,200     4,800   Average $ 3,600   $ 400   Average cost per hour   $ 9.00   a (intercept)   $ 684.65   b (coefficient)     7.2884   Standard error of the estimate     34.469   R-squared     0.99724   t-value for b     60.105…
Armer Company is accumulating data to use in preparing its annual profit plan for the coming year. The cost behavior pattern of the maintenance costs must be determined. The accounting staff has suggested the use of linear regression to derive an equation for maintenance hours and costs. Data regarding the maintenance hours and costs for the last year and the results of the regression analysis follow:   Month Maintenance Cost Machine Hours Jan. $ 4,200     480   Feb.   3,000     320   Mar.   3,600     400   Apr.   2,820     300   May   4,350     500   June   2,960     310   July   3,030     320   Aug.   4,470     520   Sept.   4,260     490   Oct.   4,050     470   Nov.   3,300     350   Dec.   3,160     340   Sum $ 43,200     4,800   Average $ 3,600   $ 400   Average cost per hour   $ 9.00   a (intercept)   $ 684.65   b (coefficient)     7.2884   Standard error of the estimate     34.469   R-squared     0.99724   t-value for b     60.105…

Chapter 7 Solutions

Intro Stats

Ch. 7 - True or false II If false, explain briefly. a)...Ch. 7 - Prob. 3ECh. 7 - Prob. 4ECh. 7 - Bookstore sales revisited Recall the data we saw...Ch. 7 - Prob. 6ECh. 7 - Prob. 7ECh. 7 - Prob. 8ECh. 7 - Bookstore sales once more Here are the residuals...Ch. 7 - Prob. 10ECh. 7 - Prob. 11ECh. 7 - Prob. 12ECh. 7 - Prob. 13ECh. 7 - 14. Disk drives last time Here is a scatterplot of...Ch. 7 - Prob. 15ECh. 7 - Prob. 16ECh. 7 - More cereal Exercise 15 describes a regression...Ch. 7 - Prob. 18ECh. 7 - Another bowl In Exercise 15, the regression model...Ch. 7 - Prob. 20ECh. 7 - Cereal again The correlation between a cereals...Ch. 7 - Prob. 22ECh. 7 - Prob. 23ECh. 7 - Prob. 24ECh. 7 - Prob. 25ECh. 7 - Prob. 26ECh. 7 - Prob. 27ECh. 7 - Residuals Tell what each of the residual plots...Ch. 7 - Real estate A random sample of records of home...Ch. 7 - 30. Roller coaster The Mitch Hawker poll ranked...Ch. 7 - Prob. 31ECh. 7 - Prob. 32ECh. 7 - Real estate again The regression of Price on Size...Ch. 7 - Prob. 34ECh. 7 - Prob. 35ECh. 7 - More misinterpretations A Sociology student...Ch. 7 - Real estate redux The regression of Price on Size...Ch. 7 - 38. Another ride The regression of Duration of a...Ch. 7 - Prob. 39ECh. 7 - Prob. 40ECh. 7 - Prob. 41ECh. 7 - Prob. 42ECh. 7 - Prob. 43ECh. 7 - Prob. 44ECh. 7 - Prob. 45ECh. 7 - 46. Second inning 2010 Consider again the...Ch. 7 - Prob. 47ECh. 7 - Prob. 48ECh. 7 - Prob. 49ECh. 7 - Prob. 50ECh. 7 - Online clothes An online clothing retailer keeps...Ch. 7 - Online clothes II For the online clothing retailer...Ch. 7 - Prob. 53ECh. 7 - Success in college Colleges use SAT scores in the...Ch. 7 - SAT, take 2 Suppose we wanted to use SAT math...Ch. 7 - Prob. 56ECh. 7 - Prob. 57ECh. 7 - Prob. 58ECh. 7 - Prob. 59ECh. 7 - Drug abuse revisited Chapter 6, Exercise 42...Ch. 7 - Prob. 61ECh. 7 - Prob. 62ECh. 7 - Prob. 63ECh. 7 - 64. Chicken Chicken sandwiches are often...Ch. 7 - Prob. 65ECh. 7 - Prob. 66ECh. 7 - Prob. 67ECh. 7 - Prob. 68ECh. 7 - Prob. 69ECh. 7 - 70. Birthrates 2009 The table shows the number of...Ch. 7 - Prob. 71ECh. 7 - Prob. 72ECh. 7 - Prob. 73ECh. 7 - Prob. 74ECh. 7 - Hard water In an investigation of environmental...Ch. 7 - 76. Gators Wildlife researchers monitor many...Ch. 7 - Prob. 77ECh. 7 - Least squares Consider the four points (200,1950),...
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