Have I correctly calculated R squared in this problem?
Homework Answers
This is excel output when regression is done on y on five variables
If you have correctly all the data correctly
then of course R^2 will be correct
here R = 0.9613
0.9613^2 = 0.9241
Add Answer to:
Have I correctly calculated R squared in this problem?
SUMMARY OUTPUT Regression Statistics Multiple R R...
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...
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...
In the following table, which parameter is the most significant; least significant; why? SUMMARY OUTPUT Regression...
In the following table, which parameter is the most significant;
least significant; 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...
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...
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...
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...
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...
In the following table, which parameter is the most significant;
least significant; 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...
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...
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...
Most questions answered within 3 hours.
-
Where is the error in this code sequence?
String s1 = "Hello";
String s2 = "ello";...
asked 10 months ago -
Financial data for Joel de Paris, Inc., for last year
follow:
Joel de Paris, Inc.
Balance...
asked 10 months ago -
Consider this reaction:
Al2(SO4)3 (aq)+ BaCl3
(aq) Al2Cl6 (aq)- +
3BaSO4(s) . What is the...
asked 10 months ago -
Suppose that Savneet is considering increasing her
recent random sample from 20 car rentals to 40...
asked 10 months ago -
Trucks arrive at an unloading terminal at an average rate of 120
per hour.
Trucks arrive...
asked 10 months ago -
Why are methanol and ethanol completely soluble in water while
octanol is not very little soluble....
asked 10 months ago -
A facilities manager at a university reads in a research report
that the mean amount of...
asked 10 months ago -
When the CuSO4 is rehydrated by adding water to the anhydrous
compound, is this an endothermic...
asked 10 months ago -
A ray of sunlight is passing from diamond into crown glass; the
angle of incidence is...
asked 10 months ago -
A block of mass 0.249 kg is placed on top of a light, vertical
spring of...
asked 10 months ago -
how do the kidneys compensate in the presences of acidosis
a) trigger hyperventilate
b) reserve acid...
asked 10 months ago -
Question 501 pts
The rental rate of capital to the firm increases. Which of the
following...
asked 10 months ago