Correlation and Linear Regression

Question 1

A statistic that quantifies a linear relation between two scale variables

Answer 1

The Pearson Correlation Coefficient

Question 2

Sample symbol for Pearson Correlation Coefficient

Answer 2

r

Question 3

Population parameter symbol for Pearson Correlation Coefficient

Answer 3

p

Question 4

A statistic that quantifies a relation between two variables

Answer 4

Correlation Coefficient

Question 5

Association between variables such that high scores on one variable tend to have high scores on the other variable

Answer 5

Positive Correlation

Question 6

Association between variables such that high scores on one variable tend to have low scores on the other variable

Answer 6

Negative Correlation

Question 7

Null hypothesis for testing correlation

Answer 7

There is no effect, r=0

Question 8

Two types of significance to be considered when interpreting the coefficient in a model

Answer 8

Statistic and Economic

Question 9

Number that indicates how well data fit a statistical model

Answer 9

R squared

Question 10

Provides a measure of how well observed outcomes are replicated by the model, as the proportion of total variation of outcomes explained by the model. It’s the % of the variance explained by the model.

Answer 10

R squared

Question 11

Multiple Regression

Answer 11

1. Contains more than one independent variable.
2. Assumes the independent variables are independent. They don’t effect each other.
3. Estimates the influence of each independent variable holding the others constant.