1. Chapter 14 Multiple Regression
ANOVA cannot be used to assess relationships with continuously measured independent and dependent variables

2. The Sum of Cross Products
ΣXY
Formed by multiplying each X value for a particular set of measures with its Y value, and then summing the products (adding them all together)

3. Simple Regression
The predictive relationship where there is only one independent variable and one dependent variable
A linear relationship between two variables refers to a tendency across the group (sample) for rate of change in one variable to fit a straight line relationship with the other variable

4. Regression Line
Correlation describes the relationship and the regression describes the actual line

5. Regression Line
The regression line, any straight line, can be described by two pieces of information:
The rate of change (slope, b): indicates the amount of change in the IV for every unit of change in the DV
The Y intercept (a): indicates where on the graph the line would cross the Y (vertical) axis

6. Regression Line
A regression line has an equation of the form Y = a + bX, where X is the explanatory variable and Y is the dependent variable. The slope of the line is b, and a is the intercept (the value of y when x = 0).

7. Latent Variable
A mathematical variable that is calculated from a set of measured variables