From the excel output, intercept coefficient is the fixed cost estimate of regression equation. And X variable coefficient is the estimate of variable cost per unit.
So firm's cost equation is
y = $0.29x + $709.81
0 Regression analysis Regression Statistics Multiple R 0.86 R Square 0.75 Adjusted R Square 0.70 Standard...
ABCDEFG1SUMMARY OUTPUT2Regression Statistics3Multiple R0.854R Square0.725Adjusted R Square0.666Standard Error207.237Observations78ANOVA9dfSSMSFSignificance F10Regression1545,878.49545,878.4912.710.016111Residual5214,721.5142,944.3012Total6760,600.0013CoefficientsStandard Errort StatP-valueLower 95%Upper 95%14Intercept947.201,217.790.780.47-2,183.234,077.6415X Variable 10.270.083.570.020.080.46 Dialog content ends Kristen Battle, owner of Tulip Time, operates a local chain of floral shops. Each shop has its own delivery van. Instead of charging a flat delivery fee, Battle wants to set the delivery fee based on the distance driven to deliver the flowers. Battle wants to separate the fixed and variable portions of her van operating costs...
Kerri Tran, owner of Flower Hour, operates a local chain of floral shops. Each shop has its own delivery van. Instead of charging a flat delivery fee, Tran wants to set the delivery fee based on the distance driven to deliver the flowers. Tran wants to separate the fixed and variable portions of her van operating costs so that she has a better idea how delivery distance affects these costs. Flower Hour does a regression analysis on the next year's...
Kerri Rafferty, owner of Tulip Time, operates a local chain of floral shops. Each shop has its own delivery van. Instead of charging a flat delivery fee, Rafferty wants to set the delivery fee based on the distance driven to deliver the flowers. Rafferty wants to separate the fixed and variable portions of her van operating costs so that she has a better idea how delivery distance affects these costs. She has the following data from the past seven months...
all 3 requirments Question 8, E6-27A (book/static) IE Question Help a flat delivery fee Logh wants van operating costs so that she Melody Leigh, owner of Broadway Floral operates a local chain of floral Shops. Each shop has its own delivery van. Instead of ch to set the delivery fee based on the distance driven to deliver the flowers Leigh wants to separate the fixed and variable portions has a better idea how delivery distance affects these costs. She has...
Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.72 0.51 0.38 99.45 6 Anova df SS MS F Significance F 0.11 1 41497.60 41497.60 4.20 Regression Residual 4 39561.23 9890.31 Total 5 81058.83 t Stat P-value Coefficients Standard Error 1423.60 564.95 2.52 0.07 Intercept X Variable 1 Lower 95% Upper 95% -144.96 2992.16 -0.11 0.72 Lower 95.0% Upper 95.0% -144.96 2992.16 -0.11 0.72 0.31 0.15 2.05 0.11 Assume that Craig's Fresh and Hot Pancake Restaurant does...
to deliver the flowers Buite angol. The pred Kali Batte, owner of Tulip Time, operates a local chain of floralshops. Each shop has its own delivery van. Instead of charging a fal ellery for Bare wait to set the delivery fee based on the danced wants to separate the food and variable portions of her an operating costs so that she has a better idea how delivery distance affects theseos Tulip Time does regression analysis on the rest year's d...
Homework: Chapter 6 Homework Save Score: 0 of 2 pts 6 of 7 (6 complete) HW Score: 80%, 8 of 10 pts E6-27A (similar to) Question Help O Kim Chen, owner of Rose Red, operates a local chain of floral shops. Each shop has its own delivery van. Instead of charging a flat delivery fee, Chen wants to set the delivery fee based on the distance driven to deliver the flowers. Chen wants to separate the fixed and variable portions...
SUMMARY OUTPUT Regression Statistics Multiple R 0.633614748 R Square 0.401467649 Adjusted R Square 0.388732918 Standard Error 7373785408 Observations ANOVA SS SS F Significance F 1 17141221.72 17141222 31.52541 1.02553E-06 4725555174.28 543727.1 48 4 2696396 1 17141221.72 17141222 3152541 Siewicowe Regression Residual Total Coefficients Standard Error Star P-value 2194.707265 332.0870736 6.608831 3.21E-08 40.870917 7279205668 5.61475 1.03E-06 Coefficients Standard Porn Photo Intercept Lower 95% Upper 95% Lower 95.096 Upper 95.0% 1526,634245 2862.780285 1526.634245 2862.780285 26.22704404 55.51478995 26.22704404 55.51478995 54 SUMMARY OUTPUT Regression...
Figure 2 Regression Output SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.921261 0.848722 0.8055 0.711125 10 ANOVA Significance MS 0.001347 Regression Residual Total 19.86011 9.930053 19.63628 3.539894 0.505699 23.4 Standard Error Upper 95% Coefficients 0.20018 2.211198 0.07185 tStat P-value Lower 95% Intercept Size (cubic Metres) Weight (00's kg 2.19481 1.794453 0.676122 3.270412 0.013667 0.612423 3.809974 0.47295 0.329255 0.84353 -0.23731 0.819212 0.169626 0.42356 0.684594 (a)Based on the above regression output, interpret the regression coefficients...
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...