The article “Application of Analysis of Variance to Wet Clutch Engagement” (M. Mansouri, M. Khonsari, et al., Proceedings of the Institution of Mechanical Engineers, 2002:117–125) presents the following fitted model for predicting clutch engagement time in seconds (y) from engagement starting speed in m/s (x1), maximum drive torque in N·m (x2), system inertia in kg m2 (x3), and applied force rate in kN/s (x4):
The sum of squares for regression was SSR = 1.08613 and the sum of squares for error was SSE = 0.036310. There were 44 degrees of freedom for error.
- a. Predict the clutch engagement time when the starting speed is 20 m/s, the maximum drive torque is 17 N·m, the system inertia is 0.006 kg·m2, and the applied force rate is 10 kN/s.
- b. Is it possible to predict the change in engagement time associated with an increase of 2 m/s in starting speed? If so, find the predicted change. If not, explain why not.
- c. Is it possible to predict the change in engagement time associated with an increase of 2 N·m in maximum drive torque? If so, find the predicted change. If not, explain why not.
- d. Compute the coefficient of determination R2.
- e. Compute the F statistic for testing the null hypothesis that all the coefficients are equal to 0. Can this hypothesis be rejected?
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Statistics for Engineers and Scientists
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