Final exam Dec 2005, omit 5, 17, 24, 35, 37, 39,40, 48, 62,63,65-68,73,74

# Final exam Dec 2005, omit 5, 17, 24, 35, 37, 39,40, 48, 62,63,65-68,73,74

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Math 1P98 December 10 2005 page 2 of 22 Note that 'test statistic' refers to the z, t, P ², F, R or r s as has been used in previous tests and assignments. ( In the text book this is referred to as the 'standardized statistic' for z and t distributions) The following questions #1- #26 are worth 1 mark each. Note that "none of the above" choice refers to answers at least 0.05 different than the given answers. The regression analysis is done for a carpet company on data from six observations on the first of each month July (month 1) to December ( month 6) and the number of hours the window blinds are opened in a house. Assume the variables are normally distributed. Regression Analysis: hours versus month The regression equation is hours = 13.4 - 1.24 month Predictor Coef SE Coef T P Constant 13.433 1.410 9.53 0.001 month -1.2429 0.3621 -3.43 0.026 S = 1.51461 R-Sq = 74.7% R-Sq(adj) = 68.3% Analysis of Variance Source DF SS MS F P Regression 1 27.032 27.032 11.78 0.026 Residual Error 4 9.176 2.294 Total 5 36.208 Predicted Values for New Observations New Obs Fit SE Fit 98% CI 98% PI 1 9.083 0.618 (6.766, 11.400) (2.953, 15.213) Values of Predictors for New Observations New Obs month 1 3.50 1. The slope of the regression line is: a. -3.43 b. 13.4 c. 0.864 d. -1.24 e. none of the above
Math 1P98 December 10 2005 page 3 of 22 2. The upper bound of the 98% prediction interval for the specified date is a. 11.400 b. 15.213 c. 9.083 d. 2.953 e. none of the above. 3.

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## This note was uploaded on 05/03/2011 for the course MATH 1p98 taught by Professor Miners during the Fall '10 term at Brock University.

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Final exam Dec 2005, omit 5, 17, 24, 35, 37, 39,40, 48, 62,63,65-68,73,74

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