Use the following information to answer Questions 29 and 30: The method of least squares was used to develop a cost equation Y-a+b (x) to predict the cost of maintenance. Monthly data for the past year were used for the regression analysis. The following computer output was available Intercept Slope Unexplained Variance 66,205 Explained Variance -282,240 The independent variable was "number of maintenance hours." $5,750 16 29. Predict the cost of maintenance if 650 maintenance hours are to be worked next month: A) $ 16,150 B) $ 16,250 C) $ 16,350 D) S 16,450 30. Calculate the coefficient of correlation: A) 0.81 B) 0.90 C) 0.92 D) 0.95