When estimating the parameters of a linear regression model, the OLS estimator is a scalar value and the OLS estimate is a random variable. For a linear regression model including only an intercept, the OLS estimator of that intercept is equal to the sample mean of the independent variable. If the error term in a linear regression model is normally distributed, then the distribution of the OLS estimator, conditional on explanatory variables, is also normal. The value of the coefficient of determination, R2 of Model 1: In a4: (M1)
When estimating the parameters of a linear regression model, the OLS estimator is a scalar value and the OLS estimate is a random variable. For a linear regression model including only an intercept, the OLS estimator of that intercept is equal to the sample mean of the independent variable. If the error term in a linear regression model is normally distributed, then the distribution of the OLS estimator, conditional on explanatory variables, is also normal. The value of the coefficient of determination, R2 of Model 1: In a4: (M1)
College Algebra
7th Edition
ISBN:9781305115545
Author:James Stewart, Lothar Redlin, Saleem Watson
Publisher:James Stewart, Lothar Redlin, Saleem Watson
Chapter1: Equations And Graphs
Section: Chapter Questions
Problem 10T: Olympic Pole Vault The graph in Figure 7 indicates that in recent years the winning Olympic men’s...
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