ordinary-least-squares
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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
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- linear-regression ols ols-estimators ols-parameter-estimation ordinary-least-squares sampling-distribution single-explanatory-variable
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- Forum: FRM® Practice Questions
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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- Nicole Seaman
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- linear-regression ols ordinary-least-squares ssr sum-of-squared-residuals youtube
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- Forum: P1.T2 Quantitative Analysis