Homework Answers
d)14729732.60 as per the regression analysis. Regression analysis shows the relationship between the variable and its constituent hence for 6000 machine hours cost will come to above given in first words in the sentence.
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Rev Corporation wanted to determine the relationship between its monthly operating costs and a potential cost...
Valle Crucis Corporation wanted to determine the relationship between its monthly operating costs and a potential...
Valle Crucis Corporation wanted to determine the relationship between its monthly operating costs and a potential cost driver, machine hours. The output of a regression analysis showed the following information (note: only a portion of the regression analysis results is presented here) (Click the icon to view the portion of the regression analysis ) What is closest to the total cost if the firm uses 4,200 machine hours? i Data Table O A. $12 372,975 38 OB. $2,945 95 O...
Valle Crucis Corporation wanted to determine the relationship between its monthly operating costs and a potential...
Valle Crucis Corporation wanted to determine the relationship between its monthly operating costs and a potential cost driver, machine hours. The output of a regression analysis showed the following information (note: only a portion of the regression analysis results is presented here): (Click the icon to view the portion of the regression analysis.) What is the variable cost per unit answers are rounded)? O A. $2,946 O B. $.98 OC. $.05 OD. $.72 Data Table SUMMARY OUTPUT Regression Statistics Multiple...
Question 3: Jim's Lumber wanted to determine the relationship between its monthly operating costs and a...
Question 3: Jim's Lumber wanted to determine the relationship between its monthly operating costs and a potential cost driver, machine hours. The output of a regression analysis performed using Microsoft Excel showed the following information: 0.92 Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 148,38 ANOVA df F 52.06221 Significance F 0.0000 1 Regression Residual Total SSMS 573116.9 573117 110083.1 11008 683200 10 11 t Coefficients Standard Error 1263.34 806.85 0.26 0.05 Stat 1.57 Intercept X...
The Heartlake Corporation manufactures and sells toy gyroscopes. The following data is related to sales and...
The Heartlake Corporation manufactures and sells toy gyroscopes. The following data is related to sales and production of the toy gyroscopes for last year. Selling price per unit Variable manufacturing costs per unit Variable selling and administrative expenses per unit Fixed manufacturing overhead (in total) Fixed selling and administrative expenses in total) Units produced during the year Units sold during year $8.10 $1.86 $4.95 $77,000 $85,000 520,000 170,000 Using variable costing, what is the contribution margin for last year? O...
Thane Company is interested in establishing the relationship between electricity costs and machine hours. Data have...
Thane Company is interested in establishing the relationship between electricity costs and machine hours. Data have been collected and a regression analysis prepared using Excel. The monthly data and the regression output follow: Month January February March April May June July August September October November December Machine Hours 2,500 2,900 1,900 3,100 3,800 3,300 4,100 3,500 2,000 3,700 4,700 4,200 Electricity Costs $ 18,400 $ 21,000 $ 13,500 $ 23,000 $ 28,250 $ 22,000 $ 24,750 $ 22,750 $ 15,500...
Thane Company is interested in establishing the relationship between electricity costs and machine hours. Data have...
Thane Company is interested in establishing the relationship between electricity costs and machine hours. Data have been collected and a regression analysis prepared using Excel. The monthly data and the regression output follow: Month January February March April May June July August September October November December Machine Hours 2,500 2,900 1,900 3,100 3,800 3,300 4,100 3,500 2,000 3,700 4,700 4,200 Electricity Costs $ 18,400 $ 21,000 $ 13,500 $ 23,000 $ 28,250 $ 22,000 $ 24,750 $ 22,750 $ 15,500...
Your boss wants you to analyze the relationship between the company's monthly operating costs and the...
Your boss wants you to analyze the relationship between the company's monthly operating costs and the current cost driver she has chosen. You run a regression analysis and receive the following information: Intercept Coefficient = 653,434 X Variable 1 Coefficient = 5.76 R-square = 0.3784 What is your company's monthly cost equation? O A. y = $0.38x + $576 OB. y = 50.38x + $653,434 OC. y = $5.76x + $653,434 OD. y = $653,434x + $5.76 Click to select...
Thane Company is interested in establishing the relationship between electricity costs and machine hours. Data have...
Thane Company is interested in establishing the relationship between electricity costs and machine hours. Data have been collected and a regression analysis prepared using Excel. The monthly data and the regression output follow: Month January February March April May June July August September October November December Machine Hours 2,300 2,700 1,700 2,900 3,600 3, 100 3,900 3,300 1,800 3,500 4,500 4,000 Electricity Costs $19, 100 $22,400 $14,200 $24,400 $28,950 $23,400 $25,450 $23,450 $ 16,900 $27,400 $32,400 $28,450 Summary Output Regression...
Thane Company is interested in establishing the relationship between electricity costs and machine hours. Data have...
Thane Company is interested in establishing the relationship between electricity costs and machine hours. Data have been collected and a regression analysis prepared using Excel. The monthly data and the regression output follow: Month Machine Hours Electricity Costs January 2,600 $ 19,250 February 3,000 $ 22,700 March 2,000 $ 14,350 April 3,200 $ 24,700 May 3,900 $ 29,100 June 3,400 $ 23,700 July 4,200 $ 25,600 August 3,600 $ 23,600 September 2,100 $ 17,200 October 3,800 $ 27,700 November...
Thane Company is interested in establishing the relationship between electricity costs and machine hours. Data have...
Thane Company is interested in establishing the relationship between electricity costs and machine hours. Data have been collected and a regression analysis prepared using Excel. The monthly data and the regression output follow: Month Machine Hours Electricity Costs January 3,500 $ 18,900 February 3,900 $ 22,000 March 2,900 $ 14,000 April 4,100 $ 24,000 May 4,800 $ 28,750 June 4,300 $ 23,000 July 5,500 $ 25,250 August 4,500 $ 23,250 September 3,000 $ 16,500 October 4,700 $ 27,000 November 6,800...
Valle Crucis Corporation wanted to determine the relationship between its monthly operating costs and a potential cost driver, machine hours. The output of a regression analysis showed the following information (note: only a portion of the regression analysis results is presented here) (Click the icon to view the portion of the regression analysis ) What is closest to the total cost if the firm uses 4,200 machine hours? i Data Table O A. $12 372,975 38 OB. $2,945 95 O...
Valle Crucis Corporation wanted to determine the relationship between its monthly operating costs and a potential cost driver, machine hours. The output of a regression analysis showed the following information (note: only a portion of the regression analysis results is presented here): (Click the icon to view the portion of the regression analysis.) What is the variable cost per unit answers are rounded)? O A. $2,946 O B. $.98 OC. $.05 OD. $.72 Data Table SUMMARY OUTPUT Regression Statistics Multiple...
Question 3: Jim's Lumber wanted to determine the relationship between its monthly operating costs and a potential cost driver, machine hours. The output of a regression analysis performed using Microsoft Excel showed the following information: 0.92 Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 148,38 ANOVA df F 52.06221 Significance F 0.0000 1 Regression Residual Total SSMS 573116.9 573117 110083.1 11008 683200 10 11 t Coefficients Standard Error 1263.34 806.85 0.26 0.05 Stat 1.57 Intercept X...
The Heartlake Corporation manufactures and sells toy gyroscopes. The following data is related to sales and production of the toy gyroscopes for last year. Selling price per unit Variable manufacturing costs per unit Variable selling and administrative expenses per unit Fixed manufacturing overhead (in total) Fixed selling and administrative expenses in total) Units produced during the year Units sold during year $8.10 $1.86 $4.95 $77,000 $85,000 520,000 170,000 Using variable costing, what is the contribution margin for last year? O...
Thane Company is interested in establishing the relationship between electricity costs and machine hours. Data have been collected and a regression analysis prepared using Excel. The monthly data and the regression output follow: Month January February March April May June July August September October November December Machine Hours 2,500 2,900 1,900 3,100 3,800 3,300 4,100 3,500 2,000 3,700 4,700 4,200 Electricity Costs $ 18,400 $ 21,000 $ 13,500 $ 23,000 $ 28,250 $ 22,000 $ 24,750 $ 22,750 $ 15,500...
Thane Company is interested in establishing the relationship between electricity costs and machine hours. Data have been collected and a regression analysis prepared using Excel. The monthly data and the regression output follow: Month January February March April May June July August September October November December Machine Hours 2,500 2,900 1,900 3,100 3,800 3,300 4,100 3,500 2,000 3,700 4,700 4,200 Electricity Costs $ 18,400 $ 21,000 $ 13,500 $ 23,000 $ 28,250 $ 22,000 $ 24,750 $ 22,750 $ 15,500...
Your boss wants you to analyze the relationship between the company's monthly operating costs and the current cost driver she has chosen. You run a regression analysis and receive the following information: Intercept Coefficient = 653,434 X Variable 1 Coefficient = 5.76 R-square = 0.3784 What is your company's monthly cost equation? O A. y = $0.38x + $576 OB. y = 50.38x + $653,434 OC. y = $5.76x + $653,434 OD. y = $653,434x + $5.76 Click to select...
Thane Company is interested in establishing the relationship between electricity costs and machine hours. Data have been collected and a regression analysis prepared using Excel. The monthly data and the regression output follow: Month January February March April May June July August September October November December Machine Hours 2,300 2,700 1,700 2,900 3,600 3, 100 3,900 3,300 1,800 3,500 4,500 4,000 Electricity Costs $19, 100 $22,400 $14,200 $24,400 $28,950 $23,400 $25,450 $23,450 $ 16,900 $27,400 $32,400 $28,450 Summary Output Regression...
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