An economist conducted a study of the possible association between weekly income and weekly grocery expenditures. The particular interest was whether higher income would cause shoppers to spend more on groceries. A random sample of shoppers at a local supermarket was obtained. A questionnaire was administered asking about the weekly income of each shopper's family and their grocery bill for that week. The gender of each shopper was also obtained. The data below are expenditures and income for 10 selected survey participants. Income Grocery 98 52 201 78 298 108 398 95 481 198 600 99 738 162 805 187 890 105 1023 173 The correlation for these data is given by: a. 0.794. b. 0.735. c. 0.649. d. –0.649.

An economist conducted a study of the possible association between weekly income and weekly grocery expenditures. The particular interest was whether higher income would cause shoppers to spend more on groceries. A random sample of shoppers at a local supermarket was obtained. A questionnaire was administered asking about the weekly income of each shopper's family and their grocery bill for that week. The gender of each shopper was also obtained. The data below are expenditures and income for 10 selected survey participants. Income Grocery 98 52 201 78 298 108 398 95 481 198 600 99 738 162 805 187 890 105 1023 173 The correlation for these data is given by: a. 0.794. b. 0.735. c. 0.649. d. –0.649.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.5: Correlation And Causation

Problem 15PPS

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Question

An economist conducted a study of the possible association between weekly income and weekly grocery expenditures. The particular interest was whether higher income would cause shoppers to spend more on groceries. A random sample of shoppers at a local supermarket was obtained. A questionnaire was administered asking about the weekly income of each shopper's family and their grocery bill for that week. The gender of each shopper was also obtained. The data below are expenditures and income for 10 selected survey participants.

Income

Grocery

98

52

201

78

298

108

398

95

481

198

600

99

738

162

805

187

890

105

1023

173

The correlation for these data is given by:

a.
0.794.

b.
0.735.

c.
0.649.

d.
–0.649.

Definition Definition Relationship between two independent variables. A correlation tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

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