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

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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
An engineer ata 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 (xa). 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
Feritical
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
Transcribed Image Text:An engineer ata 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 (xa). 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 Feritical 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
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