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Inference and prediction in SLR

Slides
Code Name
s010 Introduction
s015 The linear regression model
s020 Expected value of the slope estimator *
s030 Variance of the slope estimator *
s040 Expected value of the intercept estimator *
s050 Variance of intercept estimator *
s070 Marginal distribution of estimator of slope
s080 Marginal distribution of estimator of intercept
s090 Estimating slope and intercept accuracy
s100 Elements of inference in simple linear regression
s110 Testing hypotheses concerning the slope
s120 Testing hypotheses concerning the slope
s130 Confidence interval for $\beta_1$
s140 Confidence interval for $\beta_0$
s150 Estimating a point on the regression line
s160 Confidence interval for a point on the regression line
s170 Predicting a new observation
s180 Prediction interval for a new observation
Data files
Filename Title
s030_SlideImage s030_SlideImage