Changing Color, Font, and Size of Linear Regression Models?

Hi guys,

@Technocrat helped me by providing me code for a linear regression model and when I got it to work, I noticed the data was quite choppy. How could I go about cleaning it up and adding things like color, font and size to it?

the code is as follows:

Linear Regression Plot
it <- glm(strikes ~ release_speed + release_spin_rate, data = yankees, family = "binomial")

Using the {ggplot2} package there's quite a bit you can do with model plotting. For example

library(ggplot2)
fit <- lm(mpg ~ drat, data = mtcars)
ggplot(mtcars,aes(drat,mpg)) + geom_smooth(method = "lm") + theme_minimal()
#> `geom_smooth()` using formula 'y ~ x'

However, when the y-axis is binary, it ends up looking more like

It's possible to get to something more like

but getting there isn't simple. See this explainer.

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