Linear Regression Model for BaseballSavant.com Yankees2021 CSV Data

[saltbox]

I was curious as to how to make a linear regression model for ball-strike count frequency? I am using release_speed and release_spin_rate as my other two variables but I'm not entirely sure that I have the right code for making a linear regression model for ball-strike count frequency.

[technocrat]

fit <- glm(freq_strike ~ release_speed + release_spin_rate, data = YOURDATA, family = "binomial")

[saltbox]

@technocrat

it <- glm(freq_strike ~ release_speed + release_spin_rate, data = YOURDATA, family = "binomial"

thank you sooo much. for YOURDATA what would that be? I'm assuming I would put "yankees"

[saltbox]

@technocrat

it <- glm(freq_strike ~ release_speed + release_spin_rate, data = YOURDATA, family = "binomial"

also, when I plugged it in I got "Error in eval(predvars, data, env) : object 'freq_strike' not found"

[technocrat]

Yeah, whatever data frame with those variables that you're working with.