ols

  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...
    • Nicole Seaman
    • Thread
    • linear-regression ols ols-estimators ols-parameter-estimation ordinary-least-squares sampling-distribution single-explanatory-variable
    • Replies: 1
    • Forum: FRM® Practice Questions
  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
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