library(ggplot2)
library(knitr)
ggplot(mpg, aes (cty, displ)) +
  geom_point  () +
  geom_smooth(type = lm, se = F) +
  theme_classic()
## Warning: Ignoring unknown parameters: type
## `geom_smooth()` using method = 'loess' and formula 'y ~ x'

m  <- lm(cty ~ displ, data= mpg)
d  <- coef( summary(m))

knitr::kable(d, align = "cccc", caption = "Figure 1: mpg data example", col.names = c("Estimate", "Standard Error", "t value", "p value"))
Figure 1: mpg data example
Estimate Standard Error t value p value
(Intercept) 25.991467 0.4821444 53.90805 0
displ -2.630482 0.1301887 -20.20515 0

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