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

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9 Terms

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regression line

summarizes all the dots as best as possible

2
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conditional means

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

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least-squares regression formula

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slope formula

slope measures the amount of change in Y when X changes

<p>slope measures the amount of change in Y when X changes</p>
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a formula

Y when X is zero

<p>Y when X is zero</p>
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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

<p>bivariate normal distributions</p><p>linear</p><p>homoscedasticity</p><p>normally distributed</p><p>range: 0.00 to -1.00 or +1.00</p>
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r²

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

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T (obtained) formula

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degrees of freedom for T-distribution

df: n - 2