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Scatter Plots and Line of Best Fit

Total questions: 17

Worksheet time: 28mins

Name
Class
Date
1.
What is the type of correlation?
a)
Negative 
b)
no association
c)
positive 
2.
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 140 pages. 
a)
12 chapters
b)
19 chapters
c)
14 chapters
d)
21 chapters
3.
About how many male math teachers were there in 2006?
a)
15
b)
30
c)
35
d)
45
4.
Which scatter plot shows a linear relationship between x and y?
a)
Graph A
b)
Graph B
c)
Graph C
d)
Graph D
5.

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 6 absences should get approximately what score on the final exam?

a)

85

b)

92

c)

70

d)

76

6.
What is a line of best fit used for?
a)
To make predictions
b)
To make the graph look pretty
c)
To connect the points
d)
To make it look like you know what you are doing
7.

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

a)

Yes

b)

No

8.

What is the equation of the line of best fit

a)

y= -2x + 10

b)

y= 10x+ 2

c)

y= 10

9.

Which line is the best line of best fit?

a)

a

b)

b

c)

c

d)

i don't see any lines

10.
Shown is a residual plot. Would a linear regression model of the data be most appropriate?
a)
YES
b)
NO
11.
Shown is a residual plot. Would a linear regression model of the data be most appropriate?
a)
YES
b)
NO
12.

The scatter plot shows the number coffee shops in different cities and the number of violent crimes. Which of the following is NOT true?

a)

A) As the number of coffee shops increase, violent crimes appears to increase.

b)

B) The line of best fit (regression line) shows a positive correlation

c)

C) The data has a positive correlation coefficient

d)

D) An increase in coffee shops causes an increase in violent crimes

13.
After performing analyses on a set of data, Mrs. Schoeneck examined the scatter plot of the residual values for each analysis. Which scatter plot indicated the best linear fit for the data?
a)
A
b)
B
c)
C
14.

Shown is a residual plot. How many positive residuals are there?

a)

5

b)

1

c)

3

d)

9

15.

Shown is a residual plot. How many negative residuals are there?

a)

5

b)

1

c)

3

d)

9

16.
a)
This residual plot represents a linear fit.
b)
This residual plot represents a nonlinear fit.
c)
This residual plot represents no fit.
17.

The linear model to represent the distance (in miles) traveled given the time (in hours) driving is 

m=−1.79+61.93hm=-1.79+61.93h . Predict how far a person will travel driving 10 hours. 

a)

617.51 miles

b)

621.09 miles

c)

100 miles

d)

0.19 miles

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