I am a new beginner who recently started using the Random forest model in R. I ran an analysis on my data and received the following results. I just want to understand what does the "squared residuals mean" mean in the results I got? Is that the difference between the actual value and the predicted value by the model? If the mean of residuals is this high (62.20) then why the % var explained is also high? Doesn't the "% var explained" mean the amount of "out-of-bag" data correctly predicted by the model? If 78% of data was correctly predicted, then how come there is such a huge difference between the predicted and target variables? Thank you so much!