Question 1

If a researcher uses multiple indicators to predict academic success, what kind of analysis needs to be done?

Accepted Answer

A)  Pearson correlation 
B)  Simple Linear Regression 
C)  Multiple Linear Regression 
A)  Pearson correlation 
B)  Simple Linear Regression 
C)  Multiple Linear Regression C

Question 2

In a recent study, it was found that high school students' SAT scores were not a good predictor of college performance. What is college performance in the study?

Accepted Answer

A)  Independent variable 
B)  Dependent variable 
C)  The predictor variable 
D)  College GPA 
A)  Independent variable 
B)  Dependent variable 
C)  The predictor variable 
D)  College GPA B

Question 3

the higher the correlation the more accurate the predictability.

Accepted Answer

A) True 
 B)False  True

Question 4

In selecting independent variables for a multiple regression, which of the following is NOT one of the rules?

Accepted Answer

A)  The independent variables are significantly correlated to the dependent variable 
B)  The independent variables are significantly correlated to each other 
C)  The independent variables are conceptually related to the dependent variable 
D)  The independent variables can be categorical or continuous data 
A)  The independent variables are significantly correlated to the dependent variable 
B)  The independent variables are significantly correlated to each other 
C)  The independent variables are conceptually related to the dependent variable 
D)  The independent variables can be categorical or continuous data

Question 5

If a researcher wants to know how high school GPA predicts first year college GPA, what kind of analysis should be conducted?

Accepted Answer

A)  Pearson correlation 
B)  Simple Linear Regression 
C)  Multiple Linear Regression 
A)  Pearson correlation 
B)  Simple Linear Regression 
C)  Multiple Linear Regression

If a researcher uses multiple indicators to predict academic success, what kind of analysis needs to be done?

In a recent study, it was found that high school students' SAT scores were not a good predictor of college performance. What is college performance in the study?

the higher the correlation the more accurate the predictability.

In selecting independent variables for a multiple regression, which of the following is NOT one of the rules?

If a researcher wants to know how high school GPA predicts first year college GPA, what kind of analysis should be conducted?

The Empirical Approach to Knowledge

Types of Empirical Research

Scales of Measurement

Descriptive, Correlational, and Inferential Statistics

Introduction to Sampling

Variations on Random Sampling

Sample Size

Standard Error of the Mean

Frequencies, Percentages, and Proportions

Shapes of Distributions

The Mean: An Average

Mean, Median, and Mode

Range and Interquartile Range

Standard Deviation

Z-Score

Correlation

Pearson-R

Scattergram

Introduction to Hypothesis Testing

Decisions About the Null Hypothesis

Introduction to the T-Test

Independent Samples T-Test

Dependent Samples T-Test

One Sample T-Test

Reports of the Results of T-Tests

One-Way Anova

Two-Way Anova

Chi-Square Test

Limitations of Significance Testing

Effect Size

Coefficient of Determination

Multiple Correlation

Filters

Exam 33: Simple and Multiple Regression

If a researcher uses multiple indicators to predict academic success, what kind of analysis needs to be done?

In a recent study, it was found that high school students' SAT scores were not a good predictor of college performance. What is college performance in the study?

the higher the correlation the more accurate the predictability.

In selecting independent variables for a multiple regression, which of the following is NOT one of the rules?

If a researcher wants to know how high school GPA predicts first year college GPA, what kind of analysis should be conducted?

The Empirical Approach to Knowledge

Types of Empirical Research

Scales of Measurement

Descriptive, Correlational, and Inferential Statistics

Introduction to Sampling

Variations on Random Sampling

Sample Size

Standard Error of the Mean

Frequencies, Percentages, and Proportions

Shapes of Distributions

The Mean: An Average

Mean, Median, and Mode

Range and Interquartile Range

Standard Deviation

Z-Score

Correlation

Pearson-R

Scattergram

Introduction to Hypothesis Testing

Decisions About the Null Hypothesis

Introduction to the T-Test

Independent Samples T-Test

Dependent Samples T-Test

One Sample T-Test

Reports of the Results of T-Tests

One-Way Anova

Two-Way Anova

Chi-Square Test

Limitations of Significance Testing

Effect Size

Coefficient of Determination

Multiple Correlation

Filters