Chapter 13: hypothesis testing and measures of association: interval-ratio

regression line

summarizes all the dots as best as possible

conditional means

summing all y-values for each value of x, divide by n/cases for that specific X

least-squares regression formula

slope formula

slope measures the amount of change in Y when X changes

a formula

Y when X is zero

Pearson’s R: Measure of association for Interval-ratio variables

bivariate normal distributions

linear

homoscedasticity

normally distributed

range: 0.00 to -1.00 or +1.00

r²

indicates the extent to which X helps to explain Y’s variation

T (obtained) formula

degrees of freedom for T-distribution

df: n - 2