An article in Wood Science and Technology ("Creep in Chipboard, Part 3: Initial Assessment of the Influence of Moisture Content and Level of Stressing on Rate of Creep Time to Failure," Vol. 15, 1981, pp. 125-144) describes the results of a study of the deflection (mm) of particleboard from stress levels of relative humidity. Assume that the two variables are related according to the simple linear regression model. The data are shown below: Stress level (%) Deflection (mm) y 54 16.473 54 18.693 61 14.305 61 15.121 68 13.505 68 11.640 75 11.168 75 12.534 75 11.224 Minitab was used to fit a regression equation to the above data set. The results follow. Predictor Coef SE Coef Constant 32.049 2.885 11.11 0.000 Stress level -0.27712 0.04361 -6.35 0.000 S= 1.05743, R-Sq = 85.2%, R-Sq(adj) = 83.1% Analysis of Variance
An article in Wood Science and Technology ("Creep in Chipboard, Part 3: Initial Assessment of the Influence of Moisture Content and Level of Stressing on Rate of Creep Time to Failure," Vol. 15, 1981, pp. 125-144) describes the results of a study of the deflection (mm) of particleboard from stress levels of relative humidity. Assume that the two variables are related according to the simple linear regression model. The data are shown below: Stress level (%) Deflection (mm) y 54 16.473 54 18.693 61 14.305 61 15.121 68 13.505 68 11.640 75 11.168 75 12.534 75 11.224 Minitab was used to fit a regression equation to the above data set. The results follow. Predictor Coef SE Coef Constant 32.049 2.885 11.11 0.000 Stress level -0.27712 0.04361 -6.35 0.000 S= 1.05743, R-Sq = 85.2%, R-Sq(adj) = 83.1% Analysis of Variance
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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