Statistics for The Behavioral Sciences (MindTap Course List)
10th Edition
ISBN: 9781305504912
Author: Frederick J Gravetter, Larry B. Wallnau
Publisher: Cengage Learning
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Textbook Question
Chapter 16, Problem 22P
- For the data in problem 21, the
correlation between the number of crimes and population is r=0.933, whichmeans that r
2 = 0.8,7 (87%) istheproportion
of variance in the number of crimes that is predicted by popu1ation size. Does adding the amount spent on crime prevention as a second variable in the multiple regression equation add a significant amount tothe
Prediction? Testwith a= 0.05.
evaluate the relationship between the amount spent on crime prevention and the number of crimes crime while controlling population. It ispossible touse
multiple regression to accomplish essentially the same purpose. The data are as follows:
| Number of |
Crimes
- Findthemultipleregressionequationforpredict ing the number of crimes using the amount spent on prevention and population as the two predictor variables.
18. A researcher records the annual number of serious crime and the amount spent on crime prevention for several sma11 town, medium cities, and large cities across the country. The resulting data show a strong
prevention. However, the researcher suspectthat the positive correlation is actuallycaused by population as population increases, both the amount spent on crime prevention and the number of crimes will also increase. If population is controlled,there probably should be a
between crime rate and the amount spent on prevention.
| Number of |
Crimes
Size
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Chapter 16 Solutions
Statistics for The Behavioral Sciences (MindTap Course List)
Ch. 16 - Sketch a graph showing the line for the equation...Ch. 16 - The regression equation is intended to be the...Ch. 16 - A set of n=18 pairs of scores (X and Y values) has...Ch. 16 - A set of n=15 pairs of scores (X and Y values)...Ch. 16 - Briefly explain what is measured by the standard...Ch. 16 - In general, how is the magnitude of the standard...Ch. 16 - For the following set of data, find the linear...Ch. 16 - For the following data: a. Find the regression...Ch. 16 - Does the regression equation from problem 8...Ch. 16 - For the following scores, X Y 3 8 5 8 2 6 2 3 4 6...
Ch. 16 - Ii. Problem 13 in Chapter 15 examined the...Ch. 16 - A professor obtains SAT scores and freshman grade...Ch. 16 - Problem 14 in Chapter 15 described a study...Ch. 16 - 14. There appears to be some evidence suggesting...Ch. 16 - The regression equation is computed for a set of n...Ch. 16 - 16. a. One set of 10 pairs of scores, X and Y...Ch. 16 - 17. a.A researcher computes the linear regression...Ch. 16 - For the following data: Find the regression...Ch. 16 - A multiple-regression equation with. two predictor...Ch. 16 - A researcher obtained the following multiple...Ch. 16 - 21. Problem 18 in Chapter 15 (p. 526) presented...Ch. 16 - For the data in problem 21, the correlation...Ch. 16 - For the following data, find the...Ch. 16 - A researcher evaluates the significance of a...
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