Mathematical approximation
Inference for Linear Regression in R
Jo Hardin
Professor, Pomona College
Sampling distribution of slope: good t fit
ggplot(starFatCal, aes(x = statistic)) +
geom_histogram(aes(y = ..density..), bins = 50) +
stat_function(fun = dt, color = "red", args = list(df = nrow(starbucks) - 2))
Model fit
Sampling distribution of slope: poor t fit
ggplot(starProFib, aes(x = statistic)) + geom_histogram(aes(y = ..density..), bins = 50) +
stat_function(fun = dt, color = "red", args = list(df = nrow(starbucks) - 2))
Sampling distribution of slope: poor t fit
Sampling distribution of slope: poor t fit
