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Sampling distribution (for correlation)
It is the distribution of rs and all possible rs between X and Y of samples of our sample size from the null population.
Standard error (for correlation)
It is the average distance rs are from zero in standard deviations.
R-squared
proportion overlapping variance
Regression formula (don’t write out and label the formula, just define it)
A mathematical equation that describes the relationship between independent and dependent variables, allowing for predictions based on input values. It estimates how changes in the independent variable affect the dependent variable.
Regression line
Is line of predicted Y values for every possible X vlaue, based on the regression formula (the formula for the regression line). Minimizes prediction errors (residuals).
Sampling distribution (for regression)
Distribution ofβ's. All possible β's linking X to Y, of samples of our sample size. from the null population.
Standard error of prediction
Average distance Y scores are from Y-hat regression line. a measure of how much the predicted values deviate from the actual observed values, and thus reflects the reliability of the predictions made by the model.
Cramer's V
The "correlation coefficient" between two nominal variables. It is used as an effect size for the Chi Square statistic test.
