In the following table, which parameter is the most significant; least significant; why?
Homework Answers
We know that if p-value is less than 0.05, then that variable is significant but if p-value is approximately zero, then that variable is highly significant.
In last table, most significant variable is v3 and v4. Because it's p-value is 0.0000 and 0.0000 respectively ( approximately zero). Least significant variable is v2 which p-value is 0.2916 (i.e greater than 0.05). Therefore, v2 is not significant variable.
Hence most significant variable is v3 and v4; least significant variable is v2.
Add Answer to:
In the following table, which parameter is the most significant;
least significant; why?
SUMMARY OUTPUT Regression...
In the following table, which parameters are significant and why? SUMMARY OUTPUT Regression Statistics Multiple R...
In the following table, which parameters are significant and
why?
SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.9613 0.9241 0.9222 1425.3397 200 ANOVA Significance df MS Regression Residual Total 479410417802.47 95882083560.49 472.4892 39368362197.53 518778780000.00 0.00 194 199 202929702.05 Upper 95% value 2.34 0.0201 CoefficientsStandard Erro t Stat Lower 95% 45482.366 -10383.543 11.088 738.388 0.014 2.546 19403.8863 3153.7202 10.4859 175.8223 0.0023 1.2209 Intercept V1 v2 7217.90 83746.83 -3.290.001216602.68 -4164.41 31.77 391.67 1085.11 0.02 0.14...
Have I correctly calculated R squared in this problem? SUMMARY OUTPUT Regression Statistics Multiple R R...
Have I correctly calculated R squared in this problem?
SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.9241 0.9222 1425.3397 200 ANOVA Significance df MS Regression Residual Total 479410417802.47 95882083560.49 472.4892 39368362197.53 518778780000.00 0.00 194 199 202929702.05 Upper 95% CoefficientsStandard Erro t Stat P-value Lower 95% 45482.366 -10383.543 11.088 738.388 0.014 2.546 19403.8863 3153.7202 10.4859 175.8223 0.0023 1.2209 2.340.0201 Intercept V1 v2 7217.90 83746.83 -3.290.0012 16602.68 -4164.41 31.77 391.67 1085.11 0.02 0.14 1.06 0.2916...
Have I calculated the F-calc correctly in this problem? Using: F-calc = MSR / MSE =...
Have I calculated the F-calc correctly in this problem?
Using: F-calc = MSR / MSE = 95882083560.49 / 202929702.05 =
472.4892
SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.9613 0.9241 0.9222 1425.3397 200 ANOVA Significance df MS Regression Residual Total 479410417802.47 95882083560.49 472.4892 39368362197.53 518778780000.00 0.00 194 199 202929702.05 Upper 95% CoefficientsStandard Erro t Stat P-value Lower 95% 45482.366 -10383.543 11.088 738.388 0.014 2.546 19403.8863 3153.7202 10.4859 175.8223 0.0023 1.2209 Intercept 2.340.0201 7217.90...
Have I correctly calculated the standard error in this problem? Using the following: Se = SQRT(SSE...
Have I correctly calculated the standard error in this
problem?
Using the following:
Se = SQRT(SSE / n-k-1) = 39368362197.53 / (200-5-1) =
1425.3397
Alternative: Se = SQRT/MSE = SQRT/ 202929702.05 = 14245.3397
SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.9613 0.9241 1425.3397 ANOVA Significance df MS Regression Residual Total 479410417802.47 95882083560.49 472.4892 39368362197.53 518778780000.00 0.00 194 199 202929702.05 Upper 95% CoefficientsStandard Erro t Stat P-value Lower 95% 45482.366 -10383.543 11.088 738.388 0.014...
Have I calculated the degrees of freedom correctly in this problem? Using the formulas below: Degrees...
Have I calculated the degrees of freedom correctly in this
problem? Using the formulas below:
Degrees of Freedom (df) = Sum of Square / Mean Square
Regression = 479410417802.47 / 95882083560.49 = 5
Residual = 39368362197.53 / 202929702.05 = 194
Total = Regression df + Residual df = 5 + 194 = 199
SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.9613 0.9241 0.9222 1425.3397 200 ANOVA Significance MS Regression Residual Total 479410417802.47 95882083560.49...
How do I calculate UCL/LCL (95%) from the following available data; Coefficient, Standard Error, T-Stat, P-Value....
How do I calculate UCL/LCL (95%) from the following available
data; Coefficient, Standard Error, T-Stat, P-Value.
Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.9613 0.9241 0.9222 1425.3397 200 ANOVA Significance df MS Regression Residual Total 479410417802.47 95882083560.49 472.4892 39368362197.53 518778780000.00 0.00 194 199 202929702.05 Upper 95% CoefficientsStandard Erro t Stat P-value Lower 95% 45482.366 10383.543 11.088 738.388 0.014 2.546 19403.8863 3153.7202 10.4859 175.8223 0.0023 1.2209 2.340.0201 0.0012 0.2916 0.0000 0.0000 0.0383 Intercept V1 v2 3.29...
In determining if this regression is significant, I observed the following, am I taking the correct...
In determining if this regression is significant, I observed the
following, am I taking the correct approach?
To check if your results are reliable (statistically
significant), look at Significance F (0.00). If this value is less
than 0.05, the regression is acceptable. If Significance F is
greater than 0.05, it's advisable to stop using this set of
independent variables.
As part of the hypothesis test, we should evaluate R-squared as
it measures the strength of the relationship between the model...
In the following table, which parameters are significant and
why?
SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.9613 0.9241 0.9222 1425.3397 200 ANOVA Significance df MS Regression Residual Total 479410417802.47 95882083560.49 472.4892 39368362197.53 518778780000.00 0.00 194 199 202929702.05 Upper 95% value 2.34 0.0201 CoefficientsStandard Erro t Stat Lower 95% 45482.366 -10383.543 11.088 738.388 0.014 2.546 19403.8863 3153.7202 10.4859 175.8223 0.0023 1.2209 Intercept V1 v2 7217.90 83746.83 -3.290.001216602.68 -4164.41 31.77 391.67 1085.11 0.02 0.14...
Have I correctly calculated R squared in this problem?
SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.9241 0.9222 1425.3397 200 ANOVA Significance df MS Regression Residual Total 479410417802.47 95882083560.49 472.4892 39368362197.53 518778780000.00 0.00 194 199 202929702.05 Upper 95% CoefficientsStandard Erro t Stat P-value Lower 95% 45482.366 -10383.543 11.088 738.388 0.014 2.546 19403.8863 3153.7202 10.4859 175.8223 0.0023 1.2209 2.340.0201 Intercept V1 v2 7217.90 83746.83 -3.290.0012 16602.68 -4164.41 31.77 391.67 1085.11 0.02 0.14 1.06 0.2916...
Have I calculated the F-calc correctly in this problem?
Using: F-calc = MSR / MSE = 95882083560.49 / 202929702.05 =
472.4892
SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.9613 0.9241 0.9222 1425.3397 200 ANOVA Significance df MS Regression Residual Total 479410417802.47 95882083560.49 472.4892 39368362197.53 518778780000.00 0.00 194 199 202929702.05 Upper 95% CoefficientsStandard Erro t Stat P-value Lower 95% 45482.366 -10383.543 11.088 738.388 0.014 2.546 19403.8863 3153.7202 10.4859 175.8223 0.0023 1.2209 Intercept 2.340.0201 7217.90...
Have I correctly calculated the standard error in this
problem?
Using the following:
Se = SQRT(SSE / n-k-1) = 39368362197.53 / (200-5-1) =
1425.3397
Alternative: Se = SQRT/MSE = SQRT/ 202929702.05 = 14245.3397
SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.9613 0.9241 1425.3397 ANOVA Significance df MS Regression Residual Total 479410417802.47 95882083560.49 472.4892 39368362197.53 518778780000.00 0.00 194 199 202929702.05 Upper 95% CoefficientsStandard Erro t Stat P-value Lower 95% 45482.366 -10383.543 11.088 738.388 0.014...
Have I calculated the degrees of freedom correctly in this
problem? Using the formulas below:
Degrees of Freedom (df) = Sum of Square / Mean Square
Regression = 479410417802.47 / 95882083560.49 = 5
Residual = 39368362197.53 / 202929702.05 = 194
Total = Regression df + Residual df = 5 + 194 = 199
SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.9613 0.9241 0.9222 1425.3397 200 ANOVA Significance MS Regression Residual Total 479410417802.47 95882083560.49...
How do I calculate UCL/LCL (95%) from the following available
data; Coefficient, Standard Error, T-Stat, P-Value.
Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.9613 0.9241 0.9222 1425.3397 200 ANOVA Significance df MS Regression Residual Total 479410417802.47 95882083560.49 472.4892 39368362197.53 518778780000.00 0.00 194 199 202929702.05 Upper 95% CoefficientsStandard Erro t Stat P-value Lower 95% 45482.366 10383.543 11.088 738.388 0.014 2.546 19403.8863 3153.7202 10.4859 175.8223 0.0023 1.2209 2.340.0201 0.0012 0.2916 0.0000 0.0000 0.0383 Intercept V1 v2 3.29...
In determining if this regression is significant, I observed the
following, am I taking the correct approach?
To check if your results are reliable (statistically
significant), look at Significance F (0.00). If this value is less
than 0.05, the regression is acceptable. If Significance F is
greater than 0.05, it's advisable to stop using this set of
independent variables.
As part of the hypothesis test, we should evaluate R-squared as
it measures the strength of the relationship between the model...
Most questions answered within 3 hours.
-
The three key cash-related activities of a firm are
operational activities, non-current activities and financing
activities....
asked 3 minutes ago -
what statement accurately depicts the similarities in
requirements between payroll and human resources function
asked 1 hour ago -
Calculate the volume integral of the function T=z^2 over the
tetrahedron with corners (0,0,0), (1,0,0), (0,1,0),...
asked 3 hours ago -
I propose to you a game. You roll 2 dice. If the sum of the
numbers...
asked 4 hours ago -
Select the most likely lattice types for each of the following
salts: (a) BeF2; (b) CaO;...
asked 4 hours ago -
a
ball is thrown downward with velocity of 10m/s. calculate the final
velocity if it reaches...
asked 5 hours ago -
How many grams of ice at -15°C must be added to 705 grams of
water that...
asked 6 hours ago -
2. Balance sheet
The balance sheet provides a snapshot of the financial condition
of a company....
asked 7 hours ago -
In week 1 of the chemical equilibrium experiment, you and your
lab team will create a...
asked 7 hours ago -
Identify and describe five (5) characteristics of a good KM
measurement system. Be sure to include...
asked 7 hours ago -
What are at least five (5) workplace wellness best practices for
a successful wellness program? Explain...
asked 7 hours ago -
A pharmaceutical company is testing a new drug. Of the 110
people that received the drug,...
asked 8 hours ago