Single variable linear regression: Calculating baseline prediction, SSE, SST, R2 & RMSE:

Introduction: This post is focused on basic concepts in linear regression and I will share how to calculate baseline prediction, SSE, SST, R2 and RMSE for a single variable linear regression. Dataset: The following figure shows three data points and the best-fit regression line: y = 3x + 2. The x-coordinate, or "x", is our independent variable and the y-coordinate, or "y", is our dependent variable. [ 158 more words ] http://ift.tt/2hMEjo6
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