p299
Fit some of the non-linear models investigated in this chapter to the Auto data set. Is there evidence for non-linear relationships in this data set? Create some informative plots to justify your answer.
glimpse(Auto)
## Rows: 392
## Columns: 9
## $ mpg <dbl> 18, 15, 18, 16, 17, 15, 14, 14, 14, 15, 15, 14, 15, 14, …
## $ cylinders <dbl> 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 4, 6, 6, 6, 4,…
## $ displacement <dbl> 307, 350, 318, 304, 302, 429, 454, 440, 455, 390, 383, 3…
## $ horsepower <dbl> 130, 165, 150, 150, 140, 198, 220, 215, 225, 190, 170, 1…
## $ weight <dbl> 3504, 3693, 3436, 3433, 3449, 4341, 4354, 4312, 4425, 38…
## $ acceleration <dbl> 12.0, 11.5, 11.0, 12.0, 10.5, 10.0, 9.0, 8.5, 10.0, 8.5,…
## $ year <dbl> 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, …
## $ origin <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 3, 1, 1, 1, 3,…
## $ name <fct> chevrolet chevelle malibu, buick skylark 320, plymouth s…
library(skimr)
skim(Auto)
Name | Auto |
Number of rows | 392 |
Number of columns | 9 |
_______________________ | |
Column type frequency: | |
factor | 1 |
numeric | 8 |
________________________ | |
Group variables | None |
Variable type: factor
skim_variable | n_missing | complete_rate | ordered | n_unique | top_counts |
---|---|---|---|---|---|
name | 0 | 1 | FALSE | 301 | amc: 5, for: 5, toy: 5, amc: 4 |
Variable type: numeric
skim_variable | n_missing | complete_rate | mean | sd | p0 | p25 | p50 | p75 | p100 | hist |
---|---|---|---|---|---|---|---|---|---|---|
mpg | 0 | 1 | 23.45 | 7.81 | 9 | 17.00 | 22.75 | 29.00 | 46.6 | ▆▇▆▃▁ |
cylinders | 0 | 1 | 5.47 | 1.71 | 3 | 4.00 | 4.00 | 8.00 | 8.0 | ▇▁▃▁▅ |
displacement | 0 | 1 | 194.41 | 104.64 | 68 | 105.00 | 151.00 | 275.75 | 455.0 | ▇▂▂▃▁ |
horsepower | 0 | 1 | 104.47 | 38.49 | 46 | 75.00 | 93.50 | 126.00 | 230.0 | ▆▇▃▁▁ |
weight | 0 | 1 | 2977.58 | 849.40 | 1613 | 2225.25 | 2803.50 | 3614.75 | 5140.0 | ▇▇▅▅▂ |
acceleration | 0 | 1 | 15.54 | 2.76 | 8 | 13.78 | 15.50 | 17.02 | 24.8 | ▁▆▇▂▁ |
year | 0 | 1 | 75.98 | 3.68 | 70 | 73.00 | 76.00 | 79.00 | 82.0 | ▇▆▇▆▇ |
origin | 0 | 1 | 1.58 | 0.81 | 1 | 1.00 | 1.00 | 2.00 | 3.0 | ▇▁▂▁▂ |
## The following object is masked from package:ggplot2:
##
## mpg