Wayground logo

Free Printable Worksheets

Font size

S
M
L
XL
Worksheets

Stats Chapter 4 Test Review

Total questions: 51

Worksheet time: 56mins

Name
Class
Date
1.

What phrase best describes the correlation illustrated?

a)

No correlation

b)

Strong negative

c)

Weak positive

d)

Strong positive

2.

What relationship is suggested by the scatter diagram?

a)

Line of best fit

b)

As age increases, weight increases

c)

As age increases, weight decreases

d)

No relationship between age and weight

3.

What type of correlation does this graph have?

a)

Negative

b)

no correlation

c)

positive

4.

Mrs. Collins made a scatterplot to show the relationship between the number of absences and a student’s final exam score. Based on this scatterplot, a student with 12 absences should get approximately what score on the final exam?

a)

60

b)

92

c)

70

d)

76

5.

Estimate the correlation coefficient for this scatterplot.

a)

r = 1.2

b)

r = 0.89

c)

r = 0

d)

r = -0.89

6.

The correlation coefficient r=0.3 refers to the correlation that is..

a)

Strong positive

b)

Weak positive

c)

Strong negative

d)

Weak negative

7.

The correlation coefficient r=−0.89r=-0.89  refers to the correlation that is...

a)

strong positive

b)

weak positive

c)

strong negative

d)

weak negative

8.

Is this line an accurate line estimate of best fit for the data?

a)

Yes

b)

No

9.

Car weight and distance traveled using a full tank of gas.  r=−.86r=-.86  

a)

strong positive

b)

strong negative

c)

weak positive

d)

weak negative

10.

Average time spent listening to music per day and average time spent watching TV per day.  r=−.17r=-.17  

a)

strong positive

b)

strong negative

c)

weak positive

d)

weak negative

11.
Which of the following lines represents the line of best fit for the scatter plot?
a)
A
b)
B
c)
C
d)
D
12.

Describe the correlation.

a)

Positive Moderate

b)

Negative Weak

c)

Positive Weak

d)

No Correlation

13.

According to the scatter plot, how many students took the history test?

(Hint: Count the data points.)

a)

45

b)

13

c)

9

14.

What are the variables being compared in the scatter plot?

a)

Questions Missed

b)

Test

c)

Time Studying

15.

Are there any outliers?

a)

Yes, (45, 8).

b)

Yes, (40, 1).

c)

No.

16.

What kind of relationship does the scatter plot show between time studying and numbers of questions missed?

a)

Positive

b)

Negative

c)

No relationship

17.
a)

There are 40 total paintballs

b)

There are 40 blue paintballs

c)

Blue paintballs were thrown 40 times

d)

The blue paintball hit the target 40 times.

18.

What type of correlation is seen

a)

positive

b)

negative

c)

none

19.
As the age of the car increases, its value decreases. Which scatterplot represents this relationship?
a)
A
b)
B
c)
C
d)
D
20.
This means to predict a value outside the known values on a graph.
a)
trend line
b)
interpolation
c)
extrapolation
d)
causation
21.
This means to predict a value inside the known values on a graph.
a)
trend line
b)
interpolation
c)
extrapolation
d)
causation
22.

What does r2=0.826r^2=0.826  mean?

a)

Strong positive correlation

b)

Weak positive correlation

c)

83% of data is explained

d)

83% of data is unexplained

23.

What does r2=0.281r^2=0.281  mean?

a)

28% of the data is explained

b)

28% of the data is unexplained

c)

weak positive correlation

d)

weak negative correlation

24.

What should the average of the residuals be close to?

a)

0

b)

1

c)

-1

d)

100

25.

If I wanted to plug in 17 for x, what would it be?

a)

interpolation

b)

extrapolation

c)

marginal change

d)

residuals

26.

if I wanted to plug in 9 for x, what would it be?

a)

residuals

b)

interpolation

c)

extrapolation

d)

marginal change

27.

Write the LSRL equation. (you can just type y= instead of y hat) Round to the thousandths place. No SPACES

(a)  

28.

Based on the table, about what do you think the final grade will be for someone with 14 absences.

a)

70

b)

68

c)

83

d)

48

29.

What is r for the following table?

a)

r=0.947

b)

r=0.897

c)

r=0.898

d)

r=-0.947

30.

The correlation for a data set is r=2.47 inches. Why does this not make sense?

a)

r is between -1 and 1

b)

r should be negative

c)

r should have a label of units not inches

d)

r should be a whole number

31.

The correlation for a data set is r=-4.78. Why does this not make sense?

a)

r can not be negative

b)

r must be greater than 1

c)

r must be between -1 and 1

d)

r must be less than 0

32.

The coefficient of determination is r2=−0.832r^2=-0.832  , why does this not make sense?

a)

r squared must be greater than 1

b)

r squared must be between -1 and 1

c)

r squared must be between 0 and 1

d)

r squared must be positive

33.

Which of the values is not possible for r?

a)

0.325

b)

-0.578

c)

1.93

d)

0.01

34.

Which of the values is not possible for r2r^2  ?

a)

0.973

b)

0.146

c)

1.682

d)

-0.932

35.
The scatter plot shows the relationship between the number of chapters and the total number of pages for several books.  Use the trend line to predict how many chapters would be in a book with 180 pages. 
a)
12 chapters
b)
15 chapters
c)
18 chapters
d)
21 chapters
36.
Describe the correlation in the graph shown.
a)
Strong Negative
b)
Strong Positive
c)
Weak Negative
d)
Weak Positive
37.
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)
The more books students read, the lower their English grade.
b)
The more books students read, the higher their English grade.
c)
The fewer books students read, the higher their English grade. 
d)
No relationship exists between the number of books students read and their English grades. 
38.

The table shown is comparing a person's foot length to their height in cm. Calculate LSRL using the calculator.

a)

f(x) = 25.05x + 5.57

b)

f(x) = 5.57x + 25.05

c)

f(x) = -5.57x + 25.05

d)

f(x) = 5.57x - 25.05

39.
The table shown is comparing a person's foot length to their height in cm. What is the relationship between foot length and height?
a)
strong; r = .99
b)
strong; r = .97
c)
weak; r = .38
d)
weak; r = .58
40.
What kind of trend is shown from this scatter plot?
a)
positive correlation
b)
negative correlation
c)
none
d)
cannot be determind
41.
What kind of correlation?
a)
Positive
b)
Negative
c)
No
42.
What type of correlation is when one value is increasing, then the other value is decreasing?
a)
postive
b)
negative
c)
none
d)
cannot be determined
43.
What type of correlation has one value increasing as the other value is also increasing?
a)
postive
b)
negative
c)
none
d)
cannot be determined
44.
This implies that one variable has an affect on the other variable.
a)
Scatterplot
b)
Causation
c)
Correlation
45.
The correlation coefficient, r, is always between ___ and ___.
a)
0 and 1
b)
-1 and 1 
c)
-1 and 0
46.
A perfect positive correlation has a correlation coefficient of ____. 
a)
1
b)
-1
c)
0
47.
A perfect negative correlation has a correlation coefficient of ____. 
a)
1
b)
-1
c)
0
48.
If there is NO correlation between 2 variables, the correlation coefficient is ____. 
a)
1
b)
-1
c)
0
49.
Estimate the value of r:
a)
-0.7
b)
0.35
c)
0.89
50.
Estimate the value of r:
a)
0.83
b)
0.10
c)
-0.75
51.
r2 represents:
a)
Coefficient of Delegation
b)
Correlation Coefficient
c)
Correlation of Determination
d)
Coefficient of Determination