Master this deck with 18 terms through effective study methods.
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Predictors and a dependent variable on a scale.
At least 10 participants per independent variable.
A moderate correlation, ideally r of .3 or higher.
Simple regression uses one predictor; multiple uses several.
They should be normally distributed and linearly related.
It can distort the results and interpretations.
To assess the impact of predictors in stages.
The specific research question being addressed.
Analyzes the relationship between one predictor and a dependent variable.
Standard regression includes multiple predictors to explain variance.
Involves multiple models to assess the impact of different sets of predictors.
Adds predictors in steps to evaluate their contribution to model changes.
Determines if the model significantly predicts variance in the dependent variable.
Indicates the percentage of variance explained by the model.
Shows the significance of individual predictors in the model.
Allows comparison of predictor contributions despite different measurement scales.
Comparing multiple models to assess changes in predictive power.
Accounts for the number of predictors when assessing model fit.