4.2 Least Squares Regression
{"Image DocumentName": "4.2 Least Squares Regression", "Image ImageDescription": "Least Squares Regression Line (LSRL) Minimizes square of error (y-values) Error = observed \u2013predicted value \u03a3(y-\u0177)2 (y actual value, \u0177 is predicted value) (\u0177 is called y hat) Line of y on x that makes the sum of the squares of data points to fitted line as small as possible.", "Image XResolution": "37", "Image YResolution": "37", "Image ResolutionUnit": "Pixels/Centimeter", "Image Software": "SlidePlayer", "Image YCbCrPositioning": "Centered"}