Scatter Plot and Correlation Worksheet

Scatter Plot and Correlation Worksheet
  • Page 1
 1.  
Determine the relationship between the age and the playing hours in a week.
Age (x)Playing hours (y)
620
717
818
917
1017
1113
1216
1414
1513
1612
175
189


a.
curvilinear relationship
b.
positive relationship
c.
no relationship
d.
negative relationship


Solution:


Plot the scatter diagram

From the scatter diagram, we can say that the playing hours decreases as the age increases.

So, the relationship is a negative relationship.


Correct answer : (4)
 2.  
Determine the relationship between the values of X and Y.
XY
05
12
21
32
45
510


a.
positive relationship
b.
curvilinear relationship
c.
no relationship
d.
negative relationship


Solution:


Plot the scatter diagram for X and Y.

From the scatter diagram, we can say that the points form a curve.

So, the relationship is a curvilinear relationship.


Correct answer : (2)
 3.  
Determine the relationship between the amount spent on cars(in million $) and the years. The data of a particular state are shown in the table.
Year (x)Amount (y)
1996700
1997750
1998825
1999975
2000760
20011000
2002904
20031144
20041403


a.
positive relationship
b.
curvilinear relationship
c.
negative relationship
d.
no relationship


Solution:


Plot the scatter diagram.

From the scatter diagram, we can say that the amount spent on cars increases yearly.

So, the relationship is a positive relationship.


Correct answer : (1)
 4.  
At different speeds of a car, the time for a particular journey are shown in the table. What is the relationship between the speed(in miles per hour) of the car and the time taken(in hours) by the car?
Speed (x)Time (y)
5050.4
5540
6042
6535
7036
7537.5
8031.5
8532.5
9028
9525


a.
positive relationship
b.
curvilinear relationship
c.
negative relationship
d.
no relationship


Solution:


Plot the scatter diagram

From the scatter diagram, we can say that the speed of car increases with time.

So, the relationship is a negative relationship.


Correct answer : (3)
 5.  
Determine the relationship of the newspaper readers(in millions) in different years from 1996 to 2004.
Year (x)Newspaper readers (y)
199663.3
199765.1
199867.6
199972.2
200071.8
200170.5
200275.4
200374.9
200480.2


a.
no relationship
b.
curvilinear relationship
c.
negative relationship
d.
positive relationship


Solution:


Plot the scatter diagram.

From the scatter diagram, we can say that the newspaper readers increased yearly.

So, the relationship is a positive relationship.


Correct answer : (4)
 6.  
Determine the relationship between the variables X and Y.
XY
00
10.5
20.7
30.9
41


a.
negative relationship
b.
no relationship
c.
curvilinear relationship
d.
positive relationship


Solution:


Plot the scatter diagram for X and Y.

From the scatter diagram, we can say that y increased as x increased.

So, the relationship is a positive relationship.


Correct answer : (4)
 7.  
Which of the following statement(s) is/are true?
I. Correlation is used to determine the existence of a relationship between variables.
II. Correlation is used to describe the type of relationship between variables.
III. Regression is used to determine the existence of a relationship between variables.
IV. Regression is used to describe the type of relationship between variables.
a.
III only
b.
IV only
c.
I and IV only
d.
II and III only


Solution:

Correlation is used to determine the existence of a relationship between variables.

Regression is used to describe the type of relationship between variables.

Therefore, I and IV are correct.


Correct answer : (3)
 8.  
Which of the following statement(s) is/are true?
I. A relationship between two variables is called simple relationship.
II. When both variables increase or decrease at the same time then that relationship is called negative relationship.
III. Multiple relationship exists between two variables.
IV. When one variable increases the other decreases, then the relationship is called negative relationship.
a.
II and III only
b.
IV only
c.
III only
d.
I and IV only


Solution:

A relationship between two variables is called simple relationship.

When one variable increases the other decreases, this relationship is called negative relationship.

Therefore, I and IV are correct.


Correct answer : (4)
 9.  
Which of the following statement(s) is/are false?
I. A relationship between many variables is called multiple relationship.
II. A relationship between three variables only is called multiple relationship.
III. When both variables increase or decrease at the same time, then the relationship is called positive relationship.
IV. A relationship between two variables is called simple relationship.
a.
I only
b.
II only
c.
III and IV only
d.
III only


Solution:

A relationship between many variables is called multiple relationship.

When both variables increase or decrease at the same time then that relationship is called positive relationship.

A relationship between two variables is called simple relationship.

So, I, III and IV are correct.

Therefore II is wrong.


Correct answer : (2)
 10.  
Which of the following statement(s) is/are true?
I. The variable that cannot be controlled or manipulated is dependent variable.
II. Independent variable is plotted on the y-axis.
III. A relationship between four variables only is called multiple relationship.
IV. The relationship between the independent and the dependent variables is shown through a scatter plot.
a.
II and III only
b.
I and IV only
c.
III only
d.
I only


Solution:

The variable that cannot be controlled or manipulated is dependent variable.

The relationship between the independent and the dependent variables is shown through a scatter plot.

Therefore, I and IV are correct.


Correct answer : (2)

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