1. Nicole Seaman

    P1.T2.20.16. Linear regression models

    Learning objectives: Describe the models which can be estimated using linear regression and differentiate them from those which cannot. Interpret the results of an ordinary least squares (OLS) regression with a single explanatory variable. Describe the key assumptions of OLS parameter...
  2. Nicole Seaman

    YouTube T2-15 Linear regression: OLS coefficients minimize the SSR

    The ordinary least squares (OLS) regression coefficients are determined by the "best fit" line that minimizes the sum of squared residuals (SSR). David's XLS: https://trtl.bz/2uiivIm