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Guess the Correlation and Association

Total questions: 50

Worksheet time: 46mins

Name
Class
Date
1.
Guess the correlation
a)
.88
b)
-.48
c)
-.73
d)
-.87
2.
a)
r = .81
b)
r = .51
c)
r = .42
d)
r = -.50
3.
Which plot shows stronger r-value?
a)
top plot
b)
bottom plot
4.
a)
r = .44
b)
r = .16
c)
r = -.67
d)
r = -.78
5.
Which plot shows weaker correlation?
a)
top plot is weaker
b)
bottom plot is weaker
6.
a)
r = .84
b)
r = .52
c)
r = .36
d)
r = -.59
7.
a)
r = .84
b)
r = .52
c)
r = .36
d)
r = -.59
8.
Which plot has r-value closer to negative one?
a)
plot on left
b)
plot on right
c)
neither, both plots have equal r-values
9.
What direction of association do you expect between these variables: "Ice cream sales" and "outdoor temperature"
a)
positive association
b)
virtually NO association
c)
negative association
10.
What direction of association do you expect between these variables: "Hot cocoa sales" and "outdoor temperature"
a)
positive association
b)
virtually NO association
c)
negative association
11.
What direction of association do you expect between these variables: "IQ" and "shoe size"
a)
positive association
b)
virtually NO association
c)
negative association
12.
What direction of association do you expect between these variables: "IQ" and "number of ear piercings"
a)
positive association
b)
virtually NO association
c)
negative association
13.
What direction of association do you expect between these variables: "# of hours studying per week" and "grade point average"
a)
positive association
b)
virtually NO association
c)
negative association
14.
You begin a road trip w/ a full tank of gas. What direction of association do you expect between these variables: "# of miles driven since a road trip began" and "the amount of gas remaining in tank"
a)
positive association
b)
virtually NO association
c)
negative association
15.
You begin a road trip w/ a full tank of gas. What direction of association do you expect between these variables: "# of miles driven " and "the amount of gas used"
a)
positive association
b)
virtually NO association
c)
negative association
16.

Estimate the correlation coefficient for this scatterplot.

a)

A) r = 1.2

b)

B) r = 0.89

c)

C)r = 0

d)

D) r = -0.89

17.

Describe the correlation in the graph shown.

a)

A) Strong Negative

b)

B) Strong Positive

c)

C) Weak Negative

d)

D) No Correlation

18.

Estimate the correlation coefficient for this scatterplot.

a)

A) r = -0.9

b)

B) r = 1

c)

C) r = 0.9

d)

D) r = -1

19.

Describe the relationship between the variables.

a)

A) Weak positive correlation

b)

B) Weak negative correlation

c)

C) Strong positive correlation

d)

D) Strong negative correlation

20.

What type of correlation does this graph show?

a)

A) Positive

b)

B) negative

c)

C) none

d)

D) all of the above

21.

As x increases, y decreases.

a)

A) no correlation

b)

B) negative correlation

c)

C) correlation coefficient

d)

D) positive correlation

22.

As x increases, y increases

a)

A) correlation coefficient

b)

B) causation

c)

C) positive correlation

d)

D) negative correlation

23.

The scatter plot below shows the number of books read by students in Mrs. Hall’s English class and their final grades. Which statement represents the best description about the line of best fit?

a)

A) The more books students read, the lower their English grade.

b)

B) The more books students read, the higher their English grade.

c)

C) The fewer books students read, the higher their English grade.

d)

D) No relationship exists between the number of books students read and their English grades.

24.

What type of correlation does this graph have?

a)

Positive correlation

b)

Negative correlation

c)

No correlation

d)

Constant correlation

25.

What type of correlation does this scatter plot show?

a)

Positive correlation

b)

Negative correlation

c)

No correlation

d)

Constant correlation

26.

What type of relationship does this scatter plot represent?

a)

Positive

b)

Negative

c)

No Relationship

d)

Constant

27.

Based on the scatterplot, which of the following conclusions about the relationship between her height and weight is true?

a)

There is a negative relationship between height and weight

b)

There is a positive relationship between height and weight

c)

There is a constant relationship between height and weight

d)

There is no relationship between height and weight

28.
Which statement best represents this relationship?
a)
There is no relationship between the number of miles driven and the amount of gas remaining in the tank
b)
As the number of miles driven increases, the amount of gas remaining in the tank increases.
c)
As the number of miles driven increases, the amount of gas remaining in the tank decreases.
d)
A relationship cannot be determined from this scatter plot
29.

Based on the scatter plot, which statement best describes the trend?

a)

As the daily temperature increases, the number of beach visitors increases.

b)

As the daily temperature decreases, the number of beach visitors increases.

c)

As the daily temperature increases, there is no change in the number of beach visitors

d)

As the daily temperature increases, the number of beach visitors decreases

30.
What type of correlation (association)?
The outside temperature and the amount of layers you wear. 
a)
Positive correlation
b)
Negative correlation
c)
No correlation
31.
What type of correlation?
The temperature outside and the amount of ice cream sales. 
a)
Positive correlation
b)
Negative correlation
c)
No correlation
32.
The number of siblings you have and your weight. 
a)
Positive correlation
b)
Negative correlation
c)
No correlation
33.

Describe the correlation, if the correlation coefficient is r = -0.26

a)

Positive, weak

b)

Negative, weak

c)

Positive, strong

d)

Negative, strong

34.

Describe the correlation coefficient if

r = 0.90

a)

Positive, weak

b)

Positive, strong

c)

Negative, weak

d)

Negative, strong

35.

Describe the correlation. r = 0.3

a)

Strong, positive

b)

Weak, positive

c)

Strong, negative

d)

Weak, negative

36.

Describe the correlation:

r = -0.98

a)

Strong positive

b)

Weak positive

c)

Strong negative

d)

Weak negative

37.

Estimate the correlation coefficient.

a)

r is close to zero

b)

r is close to -1

c)

r is close to 1

d)

r is close to -1.5

e)

r is close to 1.5

38.

Estimate the correlation coefficient.

a)

r is close to 1

b)

r is close to -1

c)

r is close to 0

d)

r is close to -0.5

e)

r is close to 0.5

39.

Estimate the correlation coefficient

a)

r = 1

b)

r = -1

c)

r ≈ -0.8

d)

r ≈ 0.8

e)

r ≈ -0.5

40.
Which of the following describes a positive association?
a)
As x increases, y increases
b)
As x increases, y decreases
c)
As x increases, y remains constant
41.
Which of the following describes a negative association?
a)
As x increases, y increases
b)
As x increases, y decreases
c)
As x increases, y remains constant
42.

Describe the association of the scatter plot

a)

Linear; positive association

b)

Linear; negative association

c)

Non-linear; negative association

d)

Non-linear; positive association

43.

Hector surveyed 500 people and asked them how far they drive to work and what the last digit of their phone number is. He used the results to make a scatter plot.


What type of association should he expect to see in the scatter plot?

a)

positive association

b)

negative association

c)

no association

44.

Jules conducted a survey and asked 100 people how many years of education they have and what their annual income is. She used the results to make a scatter plot.


What type of association should he expect to see in the scatter plot?

a)

positive association

b)

negative association

c)

no association

45.

Label the type of association shown by the scatter plot as positive, negative or none.

a)

positive

b)

negative

c)

none

46.

Label the type of association shown by the scatter plot as positive, negative or none.

a)

positive

b)

negative

c)

none

47.

Which scatter plot(s) could be used to show the relationship between a person’s age and a person’s height?

a)
b)
c)
d)
48.

Which scatter plot(s) could be used to show the relationship between a person’s age and the number of syllables in a person’s first and last name?

a)
b)
c)
d)
49.

Which scatter plot has a stronger association? How do you know?

a)

Scatter plot A; the points of data are closer together.

b)

Scatter plot B; the points of data are not close together.

50.

Which scatter plot appears to be linear?

a)

Scatter plot A

b)

Scatter plot B

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