B) interpret whether the residual is normally distributed, including the interpr

Question

B) interpret whether the residual is normally distributed, including the interpretations from both the significance test and histogram?
Residual vs. Predicted Plot 0 -2 10 20 30 Predicted 0 40 50 60 This is a graph of residuals (model over and under predictions) in relation to predicted dependent variable values. For a properly specified model, this scatterplot will have little structure, and look random (see graph on the right). If there is a structure to this plot, the type of structure may be a valuable clue to help you figure out what's going on. Random Residuals

Explanation / Answer

A) Homoscedasticity is the assumption that the variance is constant thoughout the data.

Since the plot is random and there is no pattern. we can say it holds the assumption of homoscedasticity.

B) The plot is almost normal. The residual might be normal. But a test can give exact information. If the p-value > 0.05, we can say that the residuals normally distributed.

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