The following results are from data where the dependent variable is EXPENSE FEES, the independent variables are SAFETY RATING, PERFORMANCE, and LOAD which is a dummy variable = 1 for load funds and = 0 for no-load funds. a) Complete the results: Based on the regression results: b) What is the estimated regression equation? c) How much of the variation in expense fees is explained by the regressors?

Advanced Engineering Mathematics
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Author:Erwin Kreyszig
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Chapter2: Second-order Linear Odes
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6) The following results are from data where the dependent variable is EXPENSE FEES, the independent variables are SAFETY RATING, PERFORMANCE, and LOAD which is a dummy variable = 1 for load funds and = 0 for no-load funds. a) Complete the results: Based on the regression results: b) What is the estimated regression equation? c) How much of the variation in expense fees is explained by the regressors?
6) The following results are from data where the dependent variable is EXPENSE FEES, the independent
variables are SAFETY RATING, PERFORMANCE, and LOAD which is a dummy variable =1 for
load funds and = 0 for no-load funds.
Complete the results:
SUMMARY OUTPUT
Regression Statistics
Multiple R
R Square
Adjusted R Square
Standard Error
Observations
20
ANOVA
df
SS
MS
F
Significance F
Regression
0.7694
0.0087
Residual
Total
19
1.517
Coefficients
Standard Error
t Stat
P-value
Upper 95%
Lower 95%
Intercept
1.391
2.025
0.687
0.502
-2.901
5.683
Safety Rating
-0.0338
0.2666
-0.1267
0.9008
-0.5990
0.5315
Performance (%)
0.0069
0.0035
0.0636
-0.0004
0.0142
Load
0.233
0.102
2.293
0.036
Transcribed Image Text:6) The following results are from data where the dependent variable is EXPENSE FEES, the independent variables are SAFETY RATING, PERFORMANCE, and LOAD which is a dummy variable =1 for load funds and = 0 for no-load funds. Complete the results: SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 20 ANOVA df SS MS F Significance F Regression 0.7694 0.0087 Residual Total 19 1.517 Coefficients Standard Error t Stat P-value Upper 95% Lower 95% Intercept 1.391 2.025 0.687 0.502 -2.901 5.683 Safety Rating -0.0338 0.2666 -0.1267 0.9008 -0.5990 0.5315 Performance (%) 0.0069 0.0035 0.0636 -0.0004 0.0142 Load 0.233 0.102 2.293 0.036
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