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ANOVA, ANCOVA, Correlation & Regression

Total questions: 10

Worksheet time: 10mins

Name
Class
Date
1.

ANOVA testing is used for ...

a)

Test for one mean

b)

Test for two means

c)

Test for three or more means

d)

Test for independence between two variables

2.

Determine whether the following scenario should use a one-way ANOVA test or two-way ANOVA test:


A researcher want to determine whether there is an interaction between physical activity level and gender on blood cholesterol concentration in children.

a)

one-way ANOVA test

b)

two-way ANOVA test

3.

Determine whether the following scenario should use a one-way ANOVA test or two-way ANOVA test:


A group of psychiatric patients are trying three different therapies: counseling, medication and biofeedback. They want to see if one therapy is better than the others.

a)

one-way ANOVA test

b)

two-way ANOVA test

4.

What would you use to determine whether significant differences were observed between all levels of your independent variable?

a)

Box-plots

b)

F statistic

c)

Post-hoc tests

d)

Descriptive statistics

5.

How many independent and dependent variables are there in a One-Way Within Groups ANOVA?

a)

1 independent variable and 1 dependent variable

b)

2 independent variables and 1 dependent variable

c)

1 independent variable and 3 dependent variables

d)

1 independent variable and 2 dependent variable

6.

Which type of correlation most likely represents the relationship between number of hours studied for an exam and the grade on the exam?

a)

Positive Correlation

b)

Negative Correlation

c)

No Correlation

7.

Which type of correlation most likely represents the relationship between distance traveled to school and number of shirts owned?

a)

Positive Correlation

b)

Negative Correlation

c)

No Correlation

8.

Which graph depicts the strongest positive correlation?

a)
b)
c)
d)
9.
What graph best shows correlation? 
a)
Bar Graph
b)
Histogram
c)
Ogive
d)
Scatterplot
10.

What does r2 tell us?

a)

How big the correlation is

b)

How strong the correlation is

c)

How much the x variable affects the y variable

d)

How much the y variable affects the x variable