Abline command is not showing a regression line? - r

Question

I'm new to R programming and I'm trying to plot a regression line for this data set, but it doesn't seem to be working.
I followed exactly what my professor was using, however it doesn't seem to be working. I've also interchanged the abline command with abline(lm(batters$EMH~batters$TB)) with similar results.
Here is my code for it:
batters<-read.table(header=TRUE, text="
X AVG EBH TB OPS K.to.BB.Ratio
1 LeMahieu 0.327 61 312 0.893 1.95
2 Urshela 0.314 55 236 0.889 3.48
3 Torres 0.278 64 292 0.871 2.64
4 Judge 0.272 46 204 0.921 2.21
5 Sanchez 0.232 47 208 0.841 3.13
6 Wong 0.285 40 202 0.784 1.76
7 Molina 0.270 34 167 0.711 2.52
8 Goldschmidt 0.260 60 284 0.821 2.13
9 Ozuna 0.243 53 230 0.804 1.84
10 DeJong 0.233 62 259 0.762 2.39
11 Altuve 0.298 61 275 0.903 1.98
12 Bregman 0.296 80 328 1.015 0.69
13 Springer 0.292 62 283 0.974 1.69
14 Reddick 0.275 36 205 0.728 1.83
15 Chirinos 0.238 40 162 0.791 2.45
16 Bellinger 0.305 84 351 1.035 1.14
17 Turner 0.290 51 244 0.881 1.72
18 Seager 0.272 64 236 0.817 2.23
19 Taylor 0.262 45 169 0.794 3.11
20 Muncy 0.251 58 251 0.889 1.65
21 Meadows 0.291 69 296 0.922 2.43
22 Garcia 0.282 47 227 0.796 4.03
23 Pham 0.273 56 255 0.818 1.52
24 Choi 0.261 41 188 0.822 1.69
25 Adames 0.254 46 222 0.735 3.32
26 Yelich 0.329 76 328 1.101 1.48
27 Braun 0.285 55 232 0.849 3.09
28 Moustakas 0.254 66 270 0.845 1.85
29 Grandal 0.246 56 240 0.848 1.28
30 Arcia 0.223 32 173 0.633 2.53")
plot(batters$EBH,batters$TB,main="Attribute Pairing 5",xlab="EBH",ylab="TB")
lm(formula = batters$EBH~batters$TB)
#Call:
#lm(formula = batters$EBH ~ batters$TB)
#Coefficients:
#(Intercept) batters$TB
# -4.1275 0.2416
lin_model_1<-lm(formula = batters$EBH~batters$TB)
summary(lin_model_1)
abline(-4.12752, 0.24162)
I apologize for the messy coding, this is for a class.

Answer 1

Your formula is backwards in the lm() function call. The dependent variable is on the left side of the "~".
In your plot the y-axis (dependent variable) is TB, but in the linear regression model, it is defined as the independent variable. So for the linear regression model to work, one needs to swap EBH & TB.
plot(batters$EBH,batters$TB,main="Attribute Pairing 5",xlab="EBH",ylab="TB")
model <-lm(formula = batters$TB ~batters$EBH)
model
Call: lm(formula = batters$TB ~ batters$EBH)
Coefficients: (Intercept) batters$EBH
46.510 3.603
abline(model)
#or
abline (46.51, 3.60)
Also if you pass the "model" to abline you can avoid the need to specify the slope and intercept with abline