Summarizing Models with Broom in R

In this video, we discuss how to fit models in R and summarize them using the Broom package. We do not go into details of model fitting, but show an example using a simple linear model. We also motivate why linear models may not always be appropriate, and fit a second degree polynomial. Lecture notes: https://ubc-stat.github.io/stat545/we... New to ggplot? Check out this video:    • Effective Data Visualization with ggplot2 ...   New to dplyr? Check out this video:    • Dplyr - Data Manipulation in R (filter, se...   Time stamps: 0:00 - Intro 0:59 - Loading in Packages 1:27 - mtcars Dataset 1:47 - ggplot geom_smooth() 3:06 - Fitting a Linear Model with lm() 5:03 - Broom's tidy() function (summary) 5:49 - Broom's augment() function (prediction) 7:32 - Broom's glance() function (summary) 8:30 - Base R's summary() function 9:48 - Base R's predict() function 10:35 - Fitting Higher Order Polynomials