TLDR
Linear Regression is a method of modelling the best linear relationship between the independent variables and dependent variables. It is assumed and understood that the relation between the. independent. variables and. dependent variables is linear, what we find out using the model building and prediction. The leftmost graph shows no definite pattern among the error terms i.e the distribution is varied constantly. The middle graph shows a pattern where the error decreases and then increases with the estimated values violating the constant variance rule. The rightmost graph also reveals a specific pattern where. the error term. decrease with the predicted values representing predicted values. Two or more normal distributions are homoscedastic if they share a common.via the TL;DR App
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