Regression
{"Image DocumentName": "Regression", "Image ImageDescription": "A statistical method used to examine the relationship between a variable of interest (dependent variable) and one or more explanatory variables (predictors) Strength of the relationship. Direction of the relationship (positive, negative, zero) Goodness of model fit. Allows you to calculate the amount by which your dependent variable changes when a predictor variable changes by one unit (holding all other predictors constant) Often referred to as Ordinary Least Squares (OLS) regression. Regression with one predictor is called simple regression. Regression with two or more predictors is called multiple regression. Available in all statistical packages. Just like correlation, if an explanatory variable is a significant predictor of the dependent variable, it doesn\u2019t imply that the explanatory variable is a cause of the dependent variable.", "Image XResolution": "37", "Image YResolution": "37", "Image ResolutionUnit": "Pixels/Centimeter", "Image Software": "SlidePlayer", "Image YCbCrPositioning": "Centered"}