raw score regression y' = b1x1 + b2x2 + b3x3 + a
{"Image DocumentName": "raw score regression y\u2019 = b1x1 + b2x2 + b3x3 + a", "Image ImageDescription": "each b. represents the unique and independent contribution of that predictor to the model. for a quantitative predictor tells the expected direction and amount of change in the criterion for a 1-unit change in that predictor, while holding the value of all the other predictors constant. for a binary predictor (with unit coding -- 0,1 or 1,2, etc.), tells direction and amount of group mean difference on the criterion variable, while holding the value of all the other predictors constant. a. the expected value of the criterion if all predictors have a value of 0.", "Image XResolution": "37", "Image YResolution": "37", "Image ResolutionUnit": "Pixels/Centimeter", "Image Software": "SlidePlayer", "Image YCbCrPositioning": "Centered"}