SR2 Preface#
Checking our installation with an example R notebook based on the SR2 preface:
data(cars)
cars
speed | dist |
---|---|
<dbl> | <dbl> |
4 | 2 |
4 | 10 |
7 | 4 |
7 | 22 |
8 | 16 |
9 | 10 |
10 | 18 |
10 | 26 |
10 | 34 |
11 | 17 |
11 | 28 |
12 | 14 |
12 | 20 |
12 | 24 |
12 | 28 |
13 | 26 |
13 | 34 |
13 | 34 |
13 | 46 |
14 | 26 |
14 | 36 |
14 | 60 |
14 | 80 |
15 | 20 |
15 | 26 |
15 | 54 |
16 | 32 |
16 | 40 |
17 | 32 |
17 | 40 |
17 | 50 |
18 | 42 |
18 | 56 |
18 | 76 |
18 | 84 |
19 | 36 |
19 | 46 |
19 | 68 |
20 | 32 |
20 | 48 |
20 | 52 |
20 | 56 |
20 | 64 |
22 | 66 |
23 | 54 |
24 | 70 |
24 | 92 |
24 | 93 |
24 | 120 |
25 | 85 |
?cars
Fit a linear regression of distance on speed:
m <- lm(dist ~ speed, data=cars)
m
Call:
lm(formula = dist ~ speed, data = cars)
Coefficients:
(Intercept) speed
-17.579 3.932
Estimated coefficients from the model:
coef(m)
- (Intercept)
- -17.5790948905109
- speed
- 3.93240875912409
Plot residuals against speed: