Question: A statistician at a school district has data on student enrollments for the past 28 years. She feels that past enrollments are the best predictor

A statistician at a school district has data on student enrollments for the past 28 years. She feels that past enrollments are the best predictor of future enrollments. To test her hunch, she regresses enrollments against time (where the data cover the years 1987 through 2014 and the values for the X variable are coded 1 through 28). She finds the following:

= 25399 + 463X S = 615 7 = .976 n =

Assist the statistician by interpreting this regression for her. Does autocorrelation appear to be a problem? Explain.

= 25399 + 463X S = 615 7 = .976 n = 28 S, = 14.392 %3D Durbin Watson = .094

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