5- Interpret the coefficient of determination (R-squared) and the F test. SUMMARY OUTPUT Regression Statistics Multiple...
5- Interpret the coefficient of determination (R-squared) and the F test.
|
SUMMARY OUTPUT |
||||
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Regression Statistics |
||||
|
Multiple R |
0.8811 |
|||
|
R Square |
0.7764 |
|||
|
Adjusted R Square |
0.7205 |
|||
|
Standard Error |
14.7724 |
|||
|
Observations |
16 |
|||
|
ANOVA |
||||
|
df |
SS |
MS |
F |
|
|
Regression |
3 |
9091.7392 |
3030.5797 |
13.8874 |
|
Residual |
12 |
2618.7008 |
218.2251 |
|
|
Total |
15 |
11710.44 |
||
|
Coefficients |
Standard Error |
t Stat |
P-value |
|
|
Intercept |
29.1385 |
174.7427 |
0.1668 |
0.8703 |
|
PFH |
-2.1236 |
0.3405 |
-6.2361 |
0.0000 |
|
PR |
1.0345 |
0.4667 |
2.2164 |
0.0467 |
|
M |
3.0871 |
0.9993 |
3.0892 |
0.0094 |
Homework Answers
1. R-Square value of 0.7764 means the regression model is able to explain 77.64 percent of variation through independent variables PFH, PR and M
2. F value close to means the independent variables do not have significant variation, so a larger value of F value means that these independent variables have significantly different from zero and are not by chance. Hence the ANOVA is able to capture variation significantly.
Add Answer to:
5- Interpret the coefficient of determination (R-squared) and
the F test.
SUMMARY OUTPUT
Regression Statistics
Multiple...
4- Indicate if the estimates are statistically significant at 0.1%, 1%, 5% or 10%. Regression summary...
4- Indicate if the estimates are statistically significant at 0.1%, 1%, 5% or 10%. Regression summary output using Excel is as follows. SUMMARY OUTPUT Regression Statistics Multiple R 0.8811 R Square 0.7764 Adjusted R Square 0.7205 Standard Error 14.7724 Observations 16 ANOVA df SS MS F Regression 3 9091.7392 3030.5797 13.8874 Residual 12 2618.7008 218.2251 Total 15 11710.44 Coefficients Standard Error t Stat P-value Intercept 29.1385 174.7427 0.1668 0.8703 PFH -2.1236 0.3405 -6.2361 0.0000 PR 1.0345 0.4667 2.2164 0.0467 M...
SUMMARY OUTPUT Regression Statistics Multiple R 0.818616296 R Squa...
SUMMARY OUTPUT Regression Statistics Multiple R 0.818616296 R Square 0.67013264 Adjusted R Square 0.658351663 Standard Error 9.16867179 Observations 30 ANOVA df SS MS F Significance F Regression 1 4781.80995 4781.80995 56.8826 3.2455E-08 Residual 28 2353.807187 84.06454239 Total 29 7135.617137 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 28.21496731 3.739591617 7.544932763 3.22E-08 20.55476114 35.87517349 Dividend 2.367177613 0.313863719 7.542055589 3.25E-08 1.724256931 3.010098296 c. You run a regression analysis using Data Analysis to answer the following question: Is stock selling...
Following a regression analysis output : SUMMARY OUTPUT Regression Statistics Multiple R 0.719422 R Square Adjusted...
Following a regression analysis output : SUMMARY OUTPUT Regression Statistics Multiple R 0.719422 R Square Adjusted R Square 0.477366 Standard Error Observations 14 ANOVA df SS MS F Regression 1 3.028885709 Residual 12 2.823257148 Total 13 5.852142857 Coefficients Standard Error t Stat P-value Intercept 1.157091 0.566482479 0.063699302 Satisfaction with Speed of Execution 0.636798 0.177478218 0.003726861 Group of answer choices R Square is 0.517 Standard error is 0.386 Residuals are 2.823 F-test is 11.87 R Square is 0.517 Standard error is...
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...
Dep.= % WRK Indep.= % MGT SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R...
Dep.= % WRK Indep.= % MGT SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Significance df SS MS F F Regression 102.1488 148.9539 Residual Total 12.0000 Standard Coefficients Error t Stat P-value Lower 95% Upper 95% Intercept % MGT 0.4543 SE CI CI PI PI Predicted Predicted Lower Upper Lower Upper x0 Value Value 95% 95% 95% 95% 67.0000 67.8474 65.8779 69.8169 72.0000 70.1189 68.2003 72.0375 76.0000 71.9361 69.7884 74.0838 Dep.= % MGT...
QUESTION 6 SUMMARY OUTPUT Regression Statistics Multiple R 0.90 R Squared 0.80 Adjusted Rsq 0.79 Standard Error 82.06 O...
QUESTION 6 SUMMARY OUTPUT Regression Statistics Multiple R 0.90 R Squared 0.80 Adjusted Rsq 0.79 Standard Error 82.06 Observations 19.00 ANOVA df SS MS Regression 1 467247.5 467247.5 Residual 17 114466.2 6733.3 Total 18 581713.7 Coefficients St Error t Stat Intercept 756.26 30.41 24.87 Age -10.27 1.23 -8.33 This output was obtained from data on the age of houses (in years) and the associated amount paid in rates ($). Predict the rates paid (in dollars correct to two decimal places)...
Using the output below, what is the coefficient of determination SUMMARY OUTPUT Regression Statistics Multiple R...
Using the output below, what is the coefficient of determination SUMMARY OUTPUT Regression Statistics Multiple R 0.9236 0.8530 R Square Adjusted R Square Standard Error 0.8346 4.3790 Observations 10 Coefficients 29.73333 3.284848 Standard Error 2.991435587 Intercept Factory Options 0.482113498 0.8530 0.4821 29.73 O 0.9236 O 328 • Previous Next
Based on the below data what will be the value of multiple R? Regression Statistics Multiple...
Based on the below data what will be the value of multiple R? Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 8 ANOVA df SS MS F Regression 1 29 29 7 Residual 6 26 4 Total 7 Coefficients Standard Error t Stat P-value Intercept 1 31.274666 3.984284 0.007248 Advertising (thousands of S) 42 6.19330674 1.610802 0.158349 Submit Answer format: Number Round to: 2 decimal places.
Calculate the following statistics given the existing information (1 point per calculation): Regression Statistics Multiple R...
Calculate the following statistics given the existing information (1 point per calculation): Regression Statistics Multiple R R Square Adjusted R Square 0.559058 Standard Error Observations 30 ANOVA df SS MS F Significance F Regression 2 3609132796 19.38411515 6.02827E-06 Residual 27 2513568062 Total 29 6122700857 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept -15800.8 57294.51554 -0.27578 0.784814722 CARAT 12266.83 1999.250369 6.135715 1.48071E-06 DEPTH 156.686 928.9461882 0.168671 0.867312915 Additionally interpret your results. Be sure to comment on Accuracy, significance...
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 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...
Using the output below, what is the coefficient of determination SUMMARY OUTPUT Regression Statistics Multiple R 0.9236 0.8530 R Square Adjusted R Square Standard Error 0.8346 4.3790 Observations 10 Coefficients 29.73333 3.284848 Standard Error 2.991435587 Intercept Factory Options 0.482113498 0.8530 0.4821 29.73 O 0.9236 O 328 • Previous Next
Based on the below data what will be the value of multiple R? Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 8 ANOVA df SS MS F Regression 1 29 29 7 Residual 6 26 4 Total 7 Coefficients Standard Error t Stat P-value Intercept 1 31.274666 3.984284 0.007248 Advertising (thousands of S) 42 6.19330674 1.610802 0.158349 Submit Answer format: Number Round to: 2 decimal places.
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...
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