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Population Regression Line: Unbiased Estimation & Hypothesis Testing of β1 - Prof. Brett D, Study notes of Data Analysis & Statistical Methods

The concept of point estimation for the regression coefficient β1, its sampling distribution, and the derivation of its standard error. It also covers the use of confidence intervals and hypothesis testing to assess the significance of the regression coefficient in simple linear regression. The document also mentions an alternative method using an f-test in multiple regression.

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2010/2011

Uploaded on 11/18/2011

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Download Population Regression Line: Unbiased Estimation & Hypothesis Testing of β1 - Prof. Brett D and more Study notes Data Analysis & Statistical Methods in PDF only on Docsity! 18 November Inferences about the shape of the population regression line b1 is a point estimate for β1 b1 is a statistic, so it has a sampling distribution Sampling distribution for b1 μb1 = β1 b1 is an unbiased estimator of β1 σ b1 = σ √Sxx Where Sxx is s.d. of x b1 ~ N (μb1 , σb1 x ) σ not usually known, so we estimate Sb1 = Se √Sxx = standard error of coefficient Thus, we know b1−β1 Sb1 = b1−β1 Se √S xx ~ tn – 2 CIs for β1 CI = b1± tn−1 crit Se √Sxx = b1 ± tn−1 crit Sb1 Hypothesis Tests for β1 We can test
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