So are how the computer determines the size of the intercept and the slope respectively in an OLS regression.
{"Image DocumentName": "Soare how the computer determines the size of the intercept and the slope respectively in an OLS regression.", "Image ImageDescription": "The OLS equations give a nice, clear intuitive meaning about the influence of the variable X on the size of the slope, since it shows that: i) the greater the covariance between X and Y, the larger the. (absolute value of) the slope. ii) the smaller the variance of X, the larger the (absolute value of) the slope.", "Image XResolution": "37", "Image YResolution": "37", "Image ResolutionUnit": "Pixels/Centimeter", "Image Software": "SlidePlayer", "Image YCbCrPositioning": "Centered"}