Test 2 Study Guide

Front 1

1. The Y-intercept (b0) represents the

Back 1

Predicted value of Y when X=0

Front 2

2. The slope (b1) represents

Back 2

The estimated average change in Y per unit change in X

Front 3

3. The coefficient of determination (r2) tells you
The proportion of total variation of dependent variable explained by the simple linear regression model

Back 3

R2 measures the amount of variation in y that is explained by variation in x

Front 4

4. The residuals represent

Back 4

The difference between the actual Y values and the predicted Y values

Front 5

5. The strength of the linear relationship between two numerical variables may be measured by the

Back 5

Coefficient of correlation

Front 6

6. If the linear regression equation is Y=10-3X

Back 6

For every increase in one unit of X, Y decreases by 3 units