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7.03 Correlation coefficients

Worksheet
Correlation coefficients
1

For each of the scatterplots below:

i

Describe the type of linear relationship between the variables.

ii

Estimate the value of the correlation coefficient.

a
5
10
15
20
x
5
10
15
20
y
b
5
10
15
20
x
5
10
15
20
y
c
5
10
15
20
x
5
10
15
20
y
d
5
10
15
20
x
5
10
15
20
y
e
5
10
15
20
x
5
10
15
20
y
2

Calculate the correlation coefficient for the bivariate data represented in the following tables, correct to two decimal places:

a
x7126198162091119
y482125895410
b
x91817391157168
y14603130342121345540
c
x19171916191811131316
y2428218-142158222138
d
x413375014213144243
y-1237-10-7-4-91-1519
e
x611210786108
y100.499.998.9100.8100101.397.297.4100100.2
3

Describe the linear relationship between the variables with the following correlation coefficients:

a

0.96

b

0.66

c

0.36

d

- 0.06

e

- 0.34

f

- 0.66

4

For each of the following pairs of relationships:

i

Determine whether the two linear relationships have the same direction.

ii

State the relationship that has the stronger correlation.

a

The linear relationship between a set of data for variables x and y has a correlation coefficient of 0.3. The linear relationship between a set of data for variables x and z has a correlation coefficient of 0.9.

b

The linear relationship between a set of data for variables x and y has a correlation coefficient of - 0.9. The linear relationship between a set of data for variables y and z has a correlation coefficient of - 0.5.

c

The linear relationship between a set of data for variables x and y has a correlation coefficient of 0.8. The linear relationship between a set of data for variables s and t has a correlation coefficient of - 0.5.

d

The linear relationship between a set of data for variables x and y has a correlation coefficient of 0.3. The linear relationship between a set of data for variables x and t has a correlation coefficient of - 0.9.

5

Let r\left(x, y\right) represents the correlation coefficient for the relationship between variable x and y, and r\left(x, z\right) represents the correlation coefficient for the relationship between variables x and z.

For each of the following pairs of r\left(x, y\right) and r\left(x, z\right):

i

Determine whether the two linear relationships have the same direction.

ii

State the relationship that has the stronger correlation.

a

r\left(x,y\right)=0.3,\, r\left(x,z\right)=0.9

b

r\left(x,y\right)=-0.9,\, r\left(x,z\right)=-0.5

c

r\left(x,y\right)=0.8,\, r\left(x,z\right)=-0.5

d

r\left(x,y\right)=0.3,\, r\left(x,z\right)=-0.9

6

For each set of bivariate data below:

i

Calculate the correlation coefficient to two decimal places.

ii

Describe the strength of the relationship between the two variables.

a
x94353432182810203
y1912756361375722387
b
x65724884785663647793
y25.524.216.810.424.89.66.321.413.716.3
c
x6182032435564789093
y9383577265210807050
d
x131391291510121214
y3.612.512.112.811.19.711.49.710.68.9
e
x2470320643
y888360958488104728584
f
x65724884785663647793
y5.54.216.810.424.89.66.321.413.716.3
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Outcomes

MS2-12-2

analyses representations of data in order to make inferences, predictions and draw conclusions

MS2-12-7

solves problems requiring statistical processes, including the use of the normal distribution and the correlation of bivariate data

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