Deck 10: Correlation and Regression
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Deck 10: Correlation and Regression
1

A) positive
B) There is no relationship.
C) curvilinear
D) negative
B
2


3

False
4

A) multiple
B) positive
C) There is no relationship.
D) negative
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5
If there is a strong negative linear relationship between the variables, the value of
will be close to -1.
will be close to -1.
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6

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7
The two variables in a scatter plot are called the
A) independent variable and dependent variable.
B) lines and points.
C) spread and pattern.
D) relative frequency and relative proportion.
A) independent variable and dependent variable.
B) lines and points.
C) spread and pattern.
D) relative frequency and relative proportion.
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8
The range of the correlation coefficient is from 0 to 1.
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9
In a relationship, as one variable increases, the other variable
decreases, and vice versa.
decreases, and vice versa.
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10

A) Because 0.790 is greater than 0.602, the null hypothesis is not rejected.
B) There is no correlation between the variables.
C) Because 0.790 is greater than 0.632, the null hypothesis is rejected.
D) Because 0.790 is greater than 0.632, the null hypothesis is not rejected.
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11
The rounding rule for the correlation coefficient requires two decimal places.
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12
A positive relationship exists when both variables increase or decrease at the same time.
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13

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14

A) 0.932
B) 0.679
C) 0.857
D) 0.762
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15
is a statistical method used to determine whether a relationship
between variables exists.
between variables exists.
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16
Which of the following does not explain a possible relationship between variables when the null hypothesis is rejected?
A) caused by a third variable
B) uncorrelated
C) direct cause-and-effect
D) negative effect
A) caused by a third variable
B) uncorrelated
C) direct cause-and-effect
D) negative effect
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17

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18

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19

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20

A) 0.644
B) 0.826
C) 0.814
D) 0.774
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21
A regression line can be used to show trends in data.
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22

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23

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24

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25

A) 3
B) 6
C) -8
D) -5
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26

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27

A) 11.7
B) 4.73
C) 5.29
D) 34.5
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28

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29

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30

A) 12
B) 6
C) -8
D) -2
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31

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32

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33

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34

A) 3
B) 9
C) 2
D) -25
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35

A) 23
B) 19
C) 14
D) 13
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36

A) 0.354955
B) 11.851625
C) 0.086702
D) 193.269291
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37

A) 3.2
B) 0
C) 4.6
D) -4.6
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38
Regression is a statistical method used to describe the nature of the relationship between
variables.
variables.
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39

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40

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41

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42

A) The error in estimating the slope
B) The standard error of the estimate
C) The error in estimating the intercept
D) All of the above
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43

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44

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45
If the correlation coefficient is 0.930, what is the unexplained variation?
A) 86.5%
B) 7%
C) 93%
D) 13.5%
A) 86.5%
B) 7%
C) 93%
D) 13.5%
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46

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47
A researcher has reason to believe that, for an experiment with 30 points, a 95%
prediction interval would be of width 8. If the researcher wishes to run a more
precise experiment that will result in a 95% prediction interval of width 4, then
the researcher will require how many points?
prediction interval would be of width 8. If the researcher wishes to run a more
precise experiment that will result in a 95% prediction interval of width 4, then
the researcher will require how many points?
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48

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49
As a researcher collects more and more data, the 95% prediction intervals in general
A) become narrower and narrower, but the widths are always more than approximately 4 times the slope.
B) become narrower and narrower, but the widths are always more than approximately 2 times the standard error of the estimate.
C) become narrower and narrower, with the widths getting closer and closer to 0.
D) become narrower and narrower, but the widths are always more than approximately 4 times the standard error of the estimate.
A) become narrower and narrower, but the widths are always more than approximately 4 times the slope.
B) become narrower and narrower, but the widths are always more than approximately 2 times the standard error of the estimate.
C) become narrower and narrower, with the widths getting closer and closer to 0.
D) become narrower and narrower, but the widths are always more than approximately 4 times the standard error of the estimate.
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50
The variation due to chance, found by the formula , is called the
unexplained variation.
unexplained variation.
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51

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52

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53

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54

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55

A) 0.277
B) 0.723
C) 0.725
D) 0.402
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56

A) 0.109829
B) 0.066275
C) 16.865161
D) 240.686515
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57
If the correlation coefficient is 0.790, what is the explained variation?
A) 37.6%
B) 79%
C) 21%
D) 62.4%
A) 37.6%
B) 79%
C) 21%
D) 62.4%
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58

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59

A) 0.320
B) 0.752
C) 0.680
D) 0.443
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60
The standard error of estimate is the square root of the unexplained variation.
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61

A) The coefficient of determination is 0.299 and the coefficient of nondetermination is 0.701
B) The coefficient of determination is 0.701 and the coefficient of nondetermination is 0.299
C) The coefficient of determination is 0.260 and the coefficient of nondetermination is 0.740
D) The coefficient of determination is 0.740 and the coefficient of nondetermination is 0.260
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62

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63

A) increase by 39.
B) decrease by 69.
C) decrease by 39.
D) increase by 69.
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64

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65

A) 6.36
B) 8.75
C) 7.34
D) 5.49
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66

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67

A) 7.47
B) 4.26
C) 6.20
D) 2.76
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68

A) 400.1
B) 387.2
C) 421.6
D) 615.5
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69

A) 1.291
B) 1.510
C) 1.289
D) 1.057
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70

A) 32
B) 6
C) -3
D) 42
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71

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72

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73

A) 0.807
B) 0.539
C) 0.425
D) 0.575
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