Question 1

When drawing the line of best fit, where is the intercept drawn from?

Accepted Answer

A)  The x axis where the x axis has a value of 0 
B)  The y axis where the y axis has a value of 0 
C)  The x axis where the y axis has a value of 0 
D)  The y axis where the x axis has a value of 0 
A)  The x axis where the x axis has a value of 0 
B)  The y axis where the y axis has a value of 0 
C)  The x axis where the y axis has a value of 0 
D)  The y axis where the x axis has a value of 0 D

Question 2

How would a β1 slope value of + 2.5 be interpreted?

Accepted Answer

A)  For a one unit increase in the outcome variable, the predictor variable decreases by 2.5 
B)  For a one unit increase in the outcome variable, the predictor variable increases by 2.5 
C)  For a one unit increase in the predictor variable, the outcome variable decreases by 2.5 
D)  For a one unit increase in the predictor variable, the outcome variable increases by 2.5 
A)  For a one unit increase in the outcome variable, the predictor variable decreases by 2.5 
B)  For a one unit increase in the outcome variable, the predictor variable increases by 2.5 
C)  For a one unit increase in the predictor variable, the outcome variable decreases by 2.5 
D)  For a one unit increase in the predictor variable, the outcome variable increases by 2.5 D

Question 3

Imagine a situation where the predictive regression equation is Y = -4 + (5 * X). What is the correct outcome score if X = 3?

Accepted Answer

A)  19 
B)  15 
C)  45 
D)  11 
A)  19 
B)  15 
C)  45 
D)  11 D

Question 4

How do you know if your R2 explains a good amount of variability in your dataset?

Accepted Answer

A)  The correlation that the R2 is calculated from should not be significant 
B)  The correlation that the R2 is calculated from should be significant 
C)  The R2 should be greater than 5% 
D)  The R2 should be less than 5% 
A)  The correlation that the R2 is calculated from should not be significant 
B)  The correlation that the R2 is calculated from should be significant 
C)  The R2 should be greater than 5% 
D)  The R2 should be less than 5%

Question 5

How would a β1 slope value of - 6.2 be interpreted?

Accepted Answer

A)  For a one unit increase in the outcome variable, the predictor variable decreases by 6.2 
B)  For a one unit increase in the outcome variable, the predictor variable increases by 6.2 
C)  For a one unit increase in the predictor variable, the outcome variable decreases by 6.2 
D)  For a one unit increase in the predictor variable, the outcome variable increases by 6.2 
A)  For a one unit increase in the outcome variable, the predictor variable decreases by 6.2 
B)  For a one unit increase in the outcome variable, the predictor variable increases by 6.2 
C)  For a one unit increase in the predictor variable, the outcome variable decreases by 6.2 
D)  For a one unit increase in the predictor variable, the outcome variable increases by 6.2

Question 6

In the study on keeping personal items on your desk at work and job satisfaction, as a percentage, how much of the variance in the model is explained?

Accepted Answer

A)  82% 
B)  18% 
C)  67% 
D)  33% 
A)  82% 
B)  18% 
C)  67% 
D)  33%

Question 7

To evaluate the effect size of your regression model you calculate f2 and get a value of 0.62. What size effect have you found?

Accepted Answer

A)  Negative 
B)  Large 
C)  Small 
D)  Medium 
A)  Negative 
B)  Large 
C)  Small 
D)  Medium

Question 8

What does the β1 slope value represent?

Accepted Answer

A)  The change in the outcome variable for a one unit change in the predictor variable 
B)  The change in the predictor variable for a one unit change in the outcome variable 
C)  The change in the outcome variable if the predictor variable mean is 0 
D)  The change in the predictor variable if the outcome variable mean is 0 
A)  The change in the outcome variable for a one unit change in the predictor variable 
B)  The change in the predictor variable for a one unit change in the outcome variable 
C)  The change in the outcome variable if the predictor variable mean is 0 
D)  The change in the predictor variable if the outcome variable mean is 0

Question 9

If R2 = .75, as a percentage, how much unexplained variance would there be within the regression model?

Accepted Answer

A)  75% 
B)  99.25% 
C)  25% 
D)  0.75% 
A)  75% 
B)  99.25% 
C)  25% 
D)  0.75%

Question 10

In the study on keeping personal items on your desk at work and job satisfaction, what is the intercept value (β0)?

Accepted Answer

A)  2.5211 
B)  0.4371 
C)  44.10 
D)  5.1 
A)  2.5211 
B)  0.4371 
C)  44.10 
D)  5.1

Question 11

What would the R2 be if r = .3?

Accepted Answer

A)  .09 
B)  .3 
C)  .6 
D)  .1 
A)  .09 
B)  .3 
C)  .6 
D)  .1

Question 12

Imagine a situation where the predictive regression equation is Y = 10 + (2 * X). For what value of the predictor variable (X) would the correct answer be 20?

Accepted Answer

A)  10 
B)  5 
C)  2 
D)  2.5 
A)  10 
B)  5 
C)  2 
D)  2.5

Question 13

In the study on keeping personal items on your desk at work and job satisfaction, what is the Sum of Products (SP)?

Accepted Answer

A)  44.10 
B)  100.90 
C)  51 
D)  59 
A)  44.10 
B)  100.90 
C)  51 
D)  59

Question 14

In the study on keeping personal items on your desk at work and job satisfaction, what is the slope value (β1)?

Accepted Answer

A)  2.5211 
B)  0.4371 
C)  44.10 
D)  5.1 
A)  2.5211 
B)  0.4371 
C)  44.10 
D)  5.1

Question 15

In the study on keeping personal items on your desk at work and job satisfaction, what is the Sum of Squares (SSx)?

Accepted Answer

A)  44.10 
B)  100.90 
C)  51 
D)  59 
A)  44.10 
B)  100.90 
C)  51 
D)  59

When drawing the line of best fit, where is the intercept drawn from?

How would a β₁ slope value of + 2.5 be interpreted?

Imagine a situation where the predictive regression equation is Y = -4 + (5 * X). What is the correct outcome score if X = 3?

How do you know if your R² explains a good amount of variability in your dataset?

How would a β₁ slope value of - 6.2 be interpreted?

In the study on keeping personal items on your desk at work and job satisfaction, as a percentage, how much of the variance in the model is explained?

To evaluate the effect size of your regression model you calculate f² and get a value of 0.62. What size effect have you found?

What does the β₁ slope value represent?

If R² = .75, as a percentage, how much unexplained variance would there be within the regression model?

In the study on keeping personal items on your desk at work and job satisfaction, what is the intercept value (β₀)?

What would the R² be if r = .3?

Imagine a situation where the predictive regression equation is Y = 10 + (2 * X). For what value of the predictor variable (X) would the correct answer be 20?

In the study on keeping personal items on your desk at work and job satisfaction, what is the Sum of Products (SP)?

In the study on keeping personal items on your desk at work and job satisfaction, what is the slope value (β₁)?

In the study on keeping personal items on your desk at work and job satisfaction, what is the Sum of Squares (SSx)?

An Overview of How to Do Research

How to Design a Psychological Study: the Basics of Methodology

How to Find, Read, Write and Think About Research Papers

Qualitative Methods in Psychological Research

The Basics of Statistical Analysis

How to Design an Experiment

How Can I Tell If Scores Differ Between Two Groups Independent T Test

How Can I Tell If Scores Differ Between Two Conditions Repeated T Test

How Can I Tell If Scores Differ Between Three or More Groups One-Way Independent Measures Anova

How to Design a Correlational Study

How Can I Tell If Two Variables Are Correlated Pearsons Correlation

When and Why Might I Need to Use Non-Parametric Statistics

Do My Data Fit the Expected Frequencies Chi Square

Are There Differences Between Groups or Conditions Mann-Whitney U and Wilcoxon Signed Rank Tests

Is There a Relationship Between Two Variables Spearmans Correlation

Which Statistical Test Should I Use

Moving Beyond the Basics of Research and Analysis: How Do I Understand More Complicated Research Designs

Filters

Exam 12: How Can I Tell If One Variable Can Predict Another Simple Linear Regression

When drawing the line of best fit, where is the intercept drawn from?

How would a β1 slope value of + 2.5 be interpreted?

Imagine a situation where the predictive regression equation is Y = -4 + (5 * X). What is the correct outcome score if X = 3?

How do you know if your R2 explains a good amount of variability in your dataset?

How would a β1 slope value of - 6.2 be interpreted?

In the study on keeping personal items on your desk at work and job satisfaction, as a percentage, how much of the variance in the model is explained?

To evaluate the effect size of your regression model you calculate f2 and get a value of 0.62. What size effect have you found?

What does the β1 slope value represent?

If R2 = .75, as a percentage, how much unexplained variance would there be within the regression model?

In the study on keeping personal items on your desk at work and job satisfaction, what is the intercept value (β0)?

What would the R2 be if r = .3?

Imagine a situation where the predictive regression equation is Y = 10 + (2 * X). For what value of the predictor variable (X) would the correct answer be 20?

In the study on keeping personal items on your desk at work and job satisfaction, what is the Sum of Products (SP)?

In the study on keeping personal items on your desk at work and job satisfaction, what is the slope value (β1)?

In the study on keeping personal items on your desk at work and job satisfaction, what is the Sum of Squares (SSx)?

An Overview of How to Do Research

How to Design a Psychological Study: the Basics of Methodology

How to Find, Read, Write and Think About Research Papers

Qualitative Methods in Psychological Research

The Basics of Statistical Analysis

How to Design an Experiment

How Can I Tell If Scores Differ Between Two Groups Independent T Test

How Can I Tell If Scores Differ Between Two Conditions Repeated T Test

How Can I Tell If Scores Differ Between Three or More Groups One-Way Independent Measures Anova

How to Design a Correlational Study

How Can I Tell If Two Variables Are Correlated Pearsons Correlation

When and Why Might I Need to Use Non-Parametric Statistics

Do My Data Fit the Expected Frequencies Chi Square

Are There Differences Between Groups or Conditions Mann-Whitney U and Wilcoxon Signed Rank Tests

Is There a Relationship Between Two Variables Spearmans Correlation

Which Statistical Test Should I Use

Moving Beyond the Basics of Research and Analysis: How Do I Understand More Complicated Research Designs

Filters

How would a β₁ slope value of + 2.5 be interpreted?

How do you know if your R² explains a good amount of variability in your dataset?

How would a β₁ slope value of - 6.2 be interpreted?

To evaluate the effect size of your regression model you calculate f² and get a value of 0.62. What size effect have you found?

What does the β₁ slope value represent?

If R² = .75, as a percentage, how much unexplained variance would there be within the regression model?

In the study on keeping personal items on your desk at work and job satisfaction, what is the intercept value (β₀)?

What would the R² be if r = .3?

In the study on keeping personal items on your desk at work and job satisfaction, what is the slope value (β₁)?