Lesson 1 Simple Linear Regression
{"Image DocumentName": "Multiple Regression - Overview", "Image ImageDescription": "Multiple Regression in statistics is the science and art of creating an equation that relates an outcome Y, to one or more predictors, X1, X2, X3, .. Xk. Linear Regression. Y = a + b1X1 + b2 X2 + b3 X bk Xk + e. = \u0176 + e. where e is the residual error between the observed Y and the prediction (\u0176). In linear regression, bi is the average change in Y for a single unit change in Xi. Performance stats: R2, SDe.", "Image XResolution": "37", "Image YResolution": "37", "Image ResolutionUnit": "Pixels/Centimeter", "Image Software": "SlidePlayer", "Image YCbCrPositioning": "Centered"}