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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Is a baseball players' slugging percentage correlated to their strikeout percentage? A random sample of n=6n=6professional baseball players gave the following data (Source: baseball-reference.com)
Slugging
0.396
0.42
0.323
0.078
0.473
0.467
Strikeouts
27
14.3
30.8
47.1
17.8
36.7
Find the least squares line if we consider slugging percengtage as the explanatory variable and strikeout percentage as the response variable. (Round the y-intercept and slope to 2 decimal places.)y^ =
For a unit increase in slugging percentage, how much of a decrease Correct in strikeout percentage is predicted? (Round your answer to 2 decimal places.)
What percentage of the variation in strikeout percentage (yy) can be explained by slugging percentage (xx) and the least squares line? (Round to the nearest percent.)
p-value (Round to four decimal places)
When using the least-squares line for prediction, are results more reliable for extrapolation or interpolation?
a. Interpolation, because we are predicting from data outside the range used to create the least-squares line.
b. Extrapolation, because we are predicting from data outside the range used to create the least-squares line.
c. Extrapolation, because we are predicting from data in the range used to create the least-squares line.
d. Interpolation, because we are predicting from data in the range used to create the least-squares line.
The following table shows the assessed values and the
selling prices of eight houses, constituting a random sam-ple of all the houses sold recently in a metropolitan area:
Assessed value Selling price(thousands) (thousands)(of dollars) (of dollars)170.3 214.4202.0 269.3162.5 206.2174.8 225.0157.9 199.8181.6 232.1210.4 274.2188.0 243.5
(a) Fit a least squares line that will enable us to predictthe selling price of a house in that metropolitan area interms of its assessed value.
(b) Test the null hypothesis β = 1.30 against the alterna-tive hypothesis β > 1.30 at the 0.05 level of significance.
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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