Question 1

Typically, what is the minimum number of case per predictor?

Accepted Answer

A)  10-15 
B)  5-10 
C)  0-5 
D)  15-20 
A)  10-15 
B)  5-10 
C)  0-5 
D)  15-20

Question 2

Which of the following apply to multiple linear regression? (You may select more than one answer.)

Accepted Answer

A)  Multiple outcome variables 
B)  Multiple predictor variables 
C)  A single predictor variable 
D)  A single outcome variable 
A)  Multiple outcome variables 
B)  Multiple predictor variables 
C)  A single predictor variable 
D)  A single outcome variable

Question 3

The number of hours spent practising and the ability to successfully execute a specific skill (e.g. arm stand, high board dive) are related by a straight-line model: the more you practise, the better the performance of the dive. Which of the following equations best represents a 'straight line' model?

Accepted Answer

A)  y = mx + c 
B)  y = mc + x 
C)  y = cm - x. 
D)  y = cx + m 
A)  y = mx + c 
B)  y = mc + x 
C)  y = cm - x. 
D)  y = cx + m

Typically, what is the minimum number of case per predictor?

Which of the following apply to multiple linear regression? (You may select more than one answer.)

Why Is My Evil Lecturer Forcing Me to Learn Statistics

The Spine of Statistics

The Phoenix of Statistics

The Ibm Spss Statistics Environment

Exploring Data With Graphs

The Beast of Bias

Non-Parametric Models

Correlation

Comparing Two Means

Moderation, Mediation and Multicategory Predictors

Glm 1: Comparing Several Independent Means

Glm 2: Comparing Means Adjusted for Other Predictors Analysis of Covariance

Glm 3: Factorial Designs

Glm 4: Repeated-Measures Designs

Glm 5: Mixed Designs

Multivariate Analysis of Variance Manova

Exploratory Factor Analysis

Categorical Outcomes: Chi-Square and Loglinear Analysis

Categorical Outcomes: Logistic Regression

Multilevel Linear Models

Filters

Exam 9: The Linear Model Regression

Typically, what is the minimum number of case per predictor?

Which of the following apply to multiple linear regression? (You may select more than one answer.)

Why Is My Evil Lecturer Forcing Me to Learn Statistics

The Spine of Statistics

The Phoenix of Statistics

The Ibm Spss Statistics Environment

Exploring Data With Graphs

The Beast of Bias

Non-Parametric Models

Correlation

Comparing Two Means

Moderation, Mediation and Multicategory Predictors

Glm 1: Comparing Several Independent Means

Glm 2: Comparing Means Adjusted for Other Predictors Analysis of Covariance

Glm 3: Factorial Designs

Glm 4: Repeated-Measures Designs

Glm 5: Mixed Designs

Multivariate Analysis of Variance Manova

Exploratory Factor Analysis

Categorical Outcomes: Chi-Square and Loglinear Analysis

Categorical Outcomes: Logistic Regression

Multilevel Linear Models

Filters