Question 1

You are trying to predict students test scores based on their hours spent studying. This is an example of what type of regression analysis?

Accepted Answer

A)  multiple regression 
B)  simple linear regression 
C)  complex linear regression 
D)  curvilinear regression 
A)  multiple regression 
B)  simple linear regression 
C)  complex linear regression 
D)  curvilinear regression

Question 2

What element of the regression equation provides information about the direction of the relationship?

Accepted Answer

A)  X 
B)  Y 
C)  a 
D)  b 
A)  X 
B)  Y 
C)  a 
D)  b

Question 3

Normality is the assumption in linear regression that the dependent variable is continuous and normally distributed.

Accepted Answer

A) True 
 B)False

Question 4

Multiple regression analysis has two variables of interest, one dependent and one independent.

Accepted Answer

A) True 
 B)False

Question 5

In a linear regression the variable that is being predicted, is the __________________ variable.

Accepted Answer

A)  independent 
B)  dependent 
C)  extraneous 
D)  control 
A)  independent 
B)  dependent 
C)  extraneous 
D)  control

Question 6

What is the basic formula for a bivariate regression?

Accepted Answer

A)  Y = b + aX 
B)  X = b + aY 
C)  Y = a + bX 
D)  X = a + bY 
A)  Y = b + aX 
B)  X = b + aY 
C)  Y = a + bX 
D)  X = a + bY

Question 7

_________________ uses correlation as a basis to predict the value of one variable from the value of a second variable or combination of several variables.

Accepted Answer

A)  linear regression analysis 
B)  multilinear regression analysis 
C)  curvilinear regression analysis 
D)  correlation 
A)  linear regression analysis 
B)  multilinear regression analysis 
C)  curvilinear regression analysis 
D)  correlation

Question 8

________________________ are scores that have a mean of 0 and a standard deviation of 1.

Accepted Answer

A)  b-scores 
B)  z-scores 
C)  residuals 
D)  coefficients 
A)  b-scores 
B)  z-scores 
C)  residuals 
D)  coefficients

Question 9

_______________________ occurs when there is a strong relationship among the independent variables in a multiple regression.

Accepted Answer

A)  multicollinearity 
B)  variance of inflation 
C)  normality 
D)  homoscedasticity 
A)  multicollinearity 
B)  variance of inflation 
C)  normality 
D)  homoscedasticity

Question 10

Correlation, chi square and linear regression are all interested in looking at the _________________ between variables.

Accepted Answer

A)  relationships 
B)  differences 
C)  frequency distributions 
D)  normal distributions
True/False 
A)  relationships 
B)  differences 
C)  frequency distributions 
D)  normal distributions
True/False

Question 11

In the regression equation, the slope is represented by what symbol?

Accepted Answer

A)  Y 
B)  X 
C)  a 
D)  b 
A)  Y 
B)  X 
C)  a 
D)  b

Question 12

Simple linear regression uses what level of measurement?

Accepted Answer

A)  categorical 
B)  nominal 
C)  ordinal 
D)  continuous 
A)  categorical 
B)  nominal 
C)  ordinal 
D)  continuous

Question 13

R2 is calculated as _____________________.

Accepted Answer

A)  1 - (total sum of squares/residual sum of squares) 
B)  1 + (total sum of squares/residual sum of squares) 
C)  1 - (residual sum of squares/total sum of squares) 
D)  1 + (residual sum of squares/total sum of squares) 
A)  1 - (total sum of squares/residual sum of squares) 
B)  1 + (total sum of squares/residual sum of squares) 
C)  1 - (residual sum of squares/total sum of squares) 
D)  1 + (residual sum of squares/total sum of squares)

Question 14

The coefficient of determination can take a value ranging from 0 to 1.

Accepted Answer

A) True 
 B)False

Question 15

The _______________________ is a line of the plot which best represents the pattern of the relationship.

Accepted Answer

A)  X-Y relationship line 
B)  correlation line 
C)  line of best fit 
D)  fitting line 
A)  X-Y relationship line 
B)  correlation line 
C)  line of best fit 
D)  fitting line

Question 16

___________________ refers to the assumption that the degree of random noise in the dependent variable remains the same regardless of the values of the independent variables.

Accepted Answer

A)  normality 
B)  linearity 
C)  homoscedasticity 
D)  regression 
A)  normality 
B)  linearity 
C)  homoscedasticity 
D)  regression

Question 17

It is possible to integrate categorical variables into the regression equation as dummy variables.

Accepted Answer

A) True 
 B)False

Question 18

Residual sum of squares is abbreviated as RSS

Accepted Answer

A) True 
 B)False

You are trying to predict students test scores based on their hours spent studying. This is an example of what type of regression analysis?

What element of the regression equation provides information about the direction of the relationship?

Normality is the assumption in linear regression that the dependent variable is continuous and normally distributed.

Multiple regression analysis has two variables of interest, one dependent and one independent.

In a linear regression the variable that is being predicted, is the __________________ variable.

What is the basic formula for a bivariate regression?

_________________ uses correlation as a basis to predict the value of one variable from the value of a second variable or combination of several variables.

________________________ are scores that have a mean of 0 and a standard deviation of 1.

_______________________ occurs when there is a strong relationship among the independent variables in a multiple regression.

Correlation, chi square and linear regression are all interested in looking at the _________________ between variables.

In the regression equation, the slope is represented by what symbol?

Simple linear regression uses what level of measurement?

R² is calculated as _____________________.

The coefficient of determination can take a value ranging from 0 to 1.

The _______________________ is a line of the plot which best represents the pattern of the relationship.

___________________ refers to the assumption that the degree of random noise in the dependent variable remains the same regardless of the values of the independent variables.

It is possible to integrate categorical variables into the regression equation as dummy variables.

Residual sum of squares is abbreviated as RSS

When a Practitioner Becomes a Researcher

Research Alignment

Identifying the Focus of the Research

Research Design

Sample Selection

Data Collection

Quantitative Data Preparation and Descriptive Statistics

Hypothesis Testing and Statistical Significance

Comparing Means Between Two Groups

Comparing Means of More Than Two Groups

Bivariate Correlation

Chi-Square Analysis

Qualitative Data Analysis

Writing Reports

Using Research Methods for Continuous Improvement

Filters

Exam 13: Regression Analysis

You are trying to predict students test scores based on their hours spent studying. This is an example of what type of regression analysis?

What element of the regression equation provides information about the direction of the relationship?

Normality is the assumption in linear regression that the dependent variable is continuous and normally distributed.

Multiple regression analysis has two variables of interest, one dependent and one independent.

In a linear regression the variable that is being predicted, is the __________________ variable.

What is the basic formula for a bivariate regression?

_________________ uses correlation as a basis to predict the value of one variable from the value of a second variable or combination of several variables.

________________________ are scores that have a mean of 0 and a standard deviation of 1.

_______________________ occurs when there is a strong relationship among the independent variables in a multiple regression.

Correlation, chi square and linear regression are all interested in looking at the _________________ between variables.

In the regression equation, the slope is represented by what symbol?

Simple linear regression uses what level of measurement?

R2 is calculated as _____________________.

The coefficient of determination can take a value ranging from 0 to 1.

The _______________________ is a line of the plot which best represents the pattern of the relationship.

___________________ refers to the assumption that the degree of random noise in the dependent variable remains the same regardless of the values of the independent variables.

It is possible to integrate categorical variables into the regression equation as dummy variables.

Residual sum of squares is abbreviated as RSS

When a Practitioner Becomes a Researcher

Research Alignment

Identifying the Focus of the Research

Research Design

Sample Selection

Data Collection

Quantitative Data Preparation and Descriptive Statistics

Hypothesis Testing and Statistical Significance

Comparing Means Between Two Groups

Comparing Means of More Than Two Groups

Bivariate Correlation

Chi-Square Analysis

Qualitative Data Analysis

Writing Reports

Using Research Methods for Continuous Improvement

Filters

R² is calculated as _____________________.