Lesson 6: Continuous Outcomes, Between Group Differences

Question 1

Correlation reflects the relationship between two variables based on what factors?

Answer 1

Strength & Direction

Question 2

What does it indicate when a correlation has a very small p-value?

Answer 2

The relationship between the two variables is unlikely to have occurred by chance.

Question 3

What term identifies the percentage of variance in the data explained by a regression model?

Answer 3

R^2 – R^2 represents the amount of variance in the data accounted for by a regression model

Question 4

If a model has a R^2 of .48 what does this mean?

Answer 4

The model explains approximately 48% of the variance in science scores.

Question 5

What does it mean if r-square is equal to 1.00?

Answer 5

All data points fall on a straight line.

Question 6

Correlation

Answer 6

A statistical relationship that reflects the association between two variables

Question 7

Multiple Regression

Answer 7

Using two or more independent variables to predict a dependent variable

Question 8

Unstandardized Regression Coefficient (b)

Answer 8

The change in the dependent variable associated with a 1 unit change in the independent variable when all other variables in the regression model are controlled for

Question 9

Standardized Regression Coefficient (Beta)

Answer 9

tells us how predictive the variable is (i.e., the magnitude of the coefficients can be compared to one another to determine which is most predictive of the outcome)

Question 10

R^2

Answer 10

The amount of variance in the data accounted for by a regression model

Question 11

Statistical Control

Answer 11

Separating out the effect of one independent variable from the remaining independent variables to reduce confounding effects

Question 12

Confounding Variable

Answer 12

An extraneous variable that correlates with the dependent variable and at least one independent variable