An engineer at a semiconductor company wants to model the relationship between the device HFE (y) and three parameters: Emitter-RS (x), Base-RS (x2 ), and Emitter-to- Base RS (xg). Twenty samples were evaluated where the following table is the incomplete Linear Regression Analysis generated using Microsoft Excel SUMMARY OUTPUT Regression Statistics R Square Adjusted R Square Observations 20 ANOVA df MS Faritical Regression 30531.5023 Residual Total 30725.2271 Coefficients Standard Error t Stat P-value Intercept 47.1740 49.5815 0.9514 0.35553 Emitter-RS (x1) -9.7352 3.6916 -2.6371 0.01793 Base-RS (x2) 0.4283 0.2239 1.9126 0.07388 E-B-RS (x3) 18.2375 1.3118 13.9026 0.00000
An engineer at a semiconductor company wants to model the relationship between the device HFE (y) and three parameters: Emitter-RS (x), Base-RS (x2 ), and Emitter-to- Base RS (xg). Twenty samples were evaluated where the following table is the incomplete Linear Regression Analysis generated using Microsoft Excel SUMMARY OUTPUT Regression Statistics R Square Adjusted R Square Observations 20 ANOVA df MS Faritical Regression 30531.5023 Residual Total 30725.2271 Coefficients Standard Error t Stat P-value Intercept 47.1740 49.5815 0.9514 0.35553 Emitter-RS (x1) -9.7352 3.6916 -2.6371 0.01793 Base-RS (x2) 0.4283 0.2239 1.9126 0.07388 E-B-RS (x3) 18.2375 1.3118 13.9026 0.00000
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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39. What is the mean square regression?
(a) 193.7248
(b) none
(c) 10,177.1674
(d) 12.1078
(e) 840.5463
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