Welcome to the course!

Inference for Linear Regression in R

Jo Hardin

Professor, Pomona College

In this course you will

  • Make inferential claims about models.
  • Use least squares estimation.
  • Create confidence intervals for the slope.
Inference for Linear Regression in R

Inference for Linear Regression in R

Inference for Linear Regression in R

Inference for Linear Regression in R

Inference for Linear Regression in R

Inference for Linear Regression in R

Sampling variability

  • Variability in the regression line
Inference for Linear Regression in R

Inference for Linear Regression in R

Inference for Linear Regression in R

Interpret the density plot

  • Slopes between 8 and 17
  • None close to zero
  • Strong evidence the association is positive

Inference for Linear Regression in R

Inference for Linear Regression in R

Inference for Linear Regression in R

Interpreting the density plot

  • Some slopes close to zero
  • High variability
  • We can't make any conclusions

Inference for Linear Regression in R

Let's practice!

Inference for Linear Regression in R

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