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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.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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  1. 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.
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