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.
fit <- 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"
also, when I plugged it in I got "Error in eval(predvars, data, env) : object 'freq_strike' not found"
Yeah, whatever data frame with those variables that you're working with.
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