# Exploring Bivariate Numerical Data Assessment Test

10 Questions | Total Attempts: 125  Settings  From the exploration of linear regression to the assessment of the strength of linear models, take this assessment test to evaluate your knowledge of how to explore bivariate numerical data.

Related Topics
• 1.
Data on which each of two variables, where each value of one of the variables is paired with a value of the other variable is called...
• A.

Clear data

• B.

Bivariate data

• C.

Real data

• D.

Three diagram

• 2.
Which of these is used to represent a bivariate data?
• A.

Picture

• B.

Scatter plot

• C.

Lifeline

• D.

Slope

• 3.
What can be used to model the relationship between quantitative variables and make predictions?
• A.

Regression

• B.

Analysis

• C.

Line

• D.

Table

• 4.
A type of table in a matrix format that displays the frequency distribution variables is...
• A.

Curvilinear table

• B.

Graphical table

• C.

Contingency table

• D.

Plotting matrix table

• 5.
A table in which each variable has only two levels is called...
• A.

1x1

• B.

1x2

• C.

2x1

• D.

2x2

• 6.
A statistical test applied to sets of categorical data to evaluate how likely it is that any observed difference between the sets arose by chance is called...
• A.

Pearson's chi-squared test

• B.

Litmus test

• C.

Regression test

• D.

Analysis

• 7.
A test that examines the association of two categorical variables is...
• A.

Ion Dic's test

• B.

Barnard's test

• C.

Cuper's test

• D.

LifAton's test

• 8.
What kind of test is used to examine the significance of the contingency between two kinds of classification?
• A.

Fisher's exact test

• B.

Plot test

• C.

Scatter test

• D.

Round test

• 9.
The rows in a contingency table are referred to as...
• A.

Lines

• B.

Plots

• C.

Slopes

• D.

Stubs

• 10.
The columns in a contingency table are referred to as...
• A.

Slopes

• B.

Cuts

• C.

Lines

• D.

Rows