Now suppose you want to go the other way: to predict a BTC price given an ETH price. What would the regression parameters of this linear model be? How do they compare to the regression parameters from the model where you were predicting ETH price given a BTC price?
Set regression_changes to an array of 3 elements, with each element corresponding to whether or not the corresponding item returned by regression_parameters changes when switching BTC and ETH as x and y . For example, if r changes, the slope changes, but the intercept wouldn't change, the array would be [True, True, False].