Introductory Statistics (10th Edition)
10th Edition
ISBN: 9780321989178
Author: Neil A. Weiss
Publisher: PEARSON
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Textbook Question
Chapter 14.2, Problem 55E
In each of Exercises 14.48–14.57.
- a. find the regression equation for the data points. Use the defining formulas in Definition 14.4 to obtain Sxx and Sxy.
- b. graph the regression equation and the data points.
14.55 The data points in Exercise 14.43
In each of Exercises 14.42–14.45, we have presented two linear equations and a set of data points. For each exercise,
- a. plot the data points and the first linear equation on one graph and the data points and the second linear equation on another.
- b. construct tables for x, y, ŷ, e, and e2 like Table 14.4 (page 626).
- c. determine which line fits the set of data points better, according to the least-squares criterion.
14.43 Line A: y = - 1 + 3x, Line B: y = 1 + 2x
Data points:
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Use the following linear regression equation to answer the questions.
x1 = 1.5 + 3.6x2 – 7.8x3 + 1.8x4
(c) If x2 = 10, x3 = 7, and x4 = 7, what is the predicted value for x1? (Use 1 decimal place.) answer: -4.5
Suppose x3 and x4 were held at fixed but arbitrary values and x2 increased by 1 unit. What would be the corresponding change in x1? answer:3.6 Suppose x2 increased by 2 units. What would be the expected change in x1? answer: 7.2 Suppose x2 decreased by 4 units. What would be the expected change in x1?
(e) Suppose that n = 13 data points were used to construct the given regression equation and that the standard error for the coefficient of x2 is 0.461. Construct a 95% confidence interval for the coefficient of x2. (Use 2 decimal places.)
lower limit
upper limit
(f) Using the information of part (e) and level of significance 1%, test the claim that the coefficient of x2 is different from zero. (Use 2 decimal places.)
t
7.81
t critical ±
Assume there is a positive linear correlation between the variable R (Return rate in percent of a financial investment) and the variable t (age in years of the investment) given by the regression equation R= 2.3t + 4.8
A. Without further information, can we assume there is a cause-and-effect relationship between the return rate and the age of the investment?
B. If the investment continues to grow at a constant rate, what is the expeted return rate when the investment is 7 years old?
C. If the investment continues to grow at a constant rate, how old is the investment when the return rate is 30%?
Use the following linear regression equation to answer the questions.
x1 = 2.0 + 3.6x2 – 7.8x3 + 2.1x4
a) Suppose x3 and x4 were held at fixed but arbitrary values and x2 increased by 1 unit. What would be the corresponding change in x1?b) Suppose x2 increased by 2 units. What would be the expected change in x1?c) Suppose x2 decreased by 4 units. What would be the expected change in x1?
Chapter 14 Solutions
Introductory Statistics (10th Edition)
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