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Durbin-watson stat

Measures autocorrelation in residuals 0-4, 2=no autocorrelation

MAE

Mean absolute error - MAE measures the average magnitude of the errors in a set of predictions, without considering their direction, average over the test sample of the absolute differences between prediction and actual observation where all individual differences have equal weight.

RMSE

Root mean squared error - square root of the average of squared differences between prediction and actual observation, also measures the average magnitude of the error

Linear trend

When a time series variable changes by a constant amount each period Yhatt = a + bt - t reps # of periods since first period (t=0 is first observation) - b = amount of change observed in each period

Regress cost per person on summated rating: which is the y variable?

cost per person