wayground logo

Free Printable Worksheets

NEW

Font size

S
M
L
XL
Worksheets

Correlation & Simple Linear Regression

Total questions: 12

Worksheet time: 10mins

Name
Class
Date
1.

Linear regression analysis produces an equation of Y = 7 - 3.2X. This indicates that:

a)

An X value of 0 would would increase Y by 7.

b)

A 1 unit decrease in X results in a 3.2 unit decrease in Y.

c)

A 1 unit increase in X results in a 3.2 unit increase in Y.

d)

A 1 unit increase in X results in a 3.2 unit decrease in Y.

2.
Describe the correlation in the graph shown.
a)
Strong Negative
b)
Strong Positive
c)
Weak Negative
d)
Weak Positive
3.

If x is temperature and y is coffee sales, use the following formula to determine the coffee sales on a 34° day.

y = 6443 - 60x

a)

RM 4,403

b)

RM 219,002

c)

RM 6,417

d)

RM 6,443

4.

Write the equation for the linear regression shown.

a)

y=ax+by=ax+b

b)

y=0.6x+0.1y=0.6x+0.1

c)

y=0.72x+ry=0.72x+r

d)

y=0.1x+0.6y=0.1x+0.6

5.
The linear regression equation is y = 61.93x - 1.79.  Use the equation to predict how far this person will travel after 10 hours of driving.
a)
10 miles
b)
617.5 miles
c)
0.19 miles
d)
500 miles
6.

Estimate the correlation coefficient for this scatterplot.

a)

r = 1.2

b)

r = 0.89

c)

r = 0

d)

r = -0.89

7.

For a regression equation y = 24 -0.3x, the coefficient of correlation should be

negative.

a)

True

b)

False

8.

If the least-squares equation is y = 5 + 2x, then an increase of 1 unit in x is associated with an increase of 2 units in y.

a)

True

b)

False

9.

The value of the ‘coefficient of determination’ (r2) ranges from -1 to +1

a)

True

b)

False

10.

If the correlation coefficient is 0.8, the percentage of variation in the response variable explained by the variation in the explanatory variable is

a)

0.80%

b)

80%

c)

0.64%

d)

64%

11.

Simple linear regression requires that the scales of measurement be expressed in either

a)

nominal or ordinal.

b)

ordinal or ratio.

c)

interval or ratio.

d)

nominal or interval.

12.

Some data were collected on the weight of a male while laboratory rat for the first 25 weeks after its birth. The linear regression equation is

y = 100 + 40x


where,

y = weight in gram

x = time in weeks


Which is the best description of the slope for this regression equation?

a)

The slope of the line of regression is the time since the birth of the rate. It demonstrates the predicted weight of a laboratory rate after so many months since birth.

b)

The slope is 40 grams/week which means the mouse gains about 40 grams per week after birth.

c)

The slope is 40 and it means for every increase in weeks the graph will increase.

d)

The slope is 40, which tells us the line increases.