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)
Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter1: Functions
Section1.2: The Least Square Line
Problem 4E
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