The staff of controller of McCourt Company added the variable "pounds moved" to the ten-month data set: Month Materials Handling Cost Number of Moves Pounds Moved January $5,600 475 12,000 February   3,090 125 15,000 March   2,780 175   7,800 April   8,000 600 29,000 May   1,990 200      600 June   5,300 300 23,000 July   4,300 250 17,000 August   6,300 400 25,000 September   2,000 100   6,000 October   6,240 425 22,400 Required: 1. Using the data on material handling, use regression software such as Microsoft Excel to complete the missing data in the table below (round regression parameters to the nearest cent and other answers to three decimal places): McCourt Company SUMMARY OUTPUT Regression Statistics Multiple R 0.999 R Square fill in the blank 491c8af8afe4f84_1 Adjusted R Square fill in the blank 491c8af8afe4f84_2 Standard Error 119.600 Observations 10   ANOVA   df SS MS F Significance F Regression 2 37,768,070.16 18,884,035 1,320.168 9.50629E-10 Residual 7 100,129.84 14,304.26     Total 9 37,868,200.00           Coefficients Standard Error t Stat P-value Intercept fill in the blank 491c8af8afe4f84_3 86.068 6.863 0.000239 X Variable 1 fill in the blank 491c8af8afe4f84_4 0.340 0.340 9.81E-08 X Variable 2 fill in the blank 491c8af8afe4f84_5 0.006 17.446 5E-07 2. Using the cost equation from Requirement 1, calculate the total expected material handling cost for November if 350 moves are expected and 17,000 pounds of material will be moved (round final answer to the nearest dollar). Expected material handling cost: $fill in the blank 491c8af8afe4f84_6 3. For the coming year, McCourt expects 3,940 moves involving a total of 204,000 pounds. Calculate the following: Total expected fixed costs (round to the nearest dollar): $fill in the blank 491c8af8afe4f84_7 Total material handling cost (add each component in the equation and then round to the nearest dollar): $fill in the blank 491c8af8afe4f84_8

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The staff of controller of McCourt Company added the variable "pounds moved" to the ten-month data set:

Month Materials Handling Cost Number of Moves Pounds Moved
January $5,600 475 12,000
February   3,090 125 15,000
March   2,780 175   7,800
April   8,000 600 29,000
May   1,990 200      600
June   5,300 300 23,000
July   4,300 250 17,000
August   6,300 400 25,000
September   2,000 100   6,000
October   6,240 425 22,400

Required:

1. Using the data on material handling, use regression software such as Microsoft Excel to complete the missing data in the table below (round regression parameters to the nearest cent and other answers to three decimal places):

McCourt Company
SUMMARY OUTPUT
Regression Statistics
Multiple R 0.999
R Square fill in the blank 491c8af8afe4f84_1
Adjusted R Square fill in the blank 491c8af8afe4f84_2
Standard Error 119.600
Observations 10

 

ANOVA
  df SS MS F Significance F
Regression 2 37,768,070.16 18,884,035 1,320.168 9.50629E-10
Residual 7 100,129.84 14,304.26    
Total 9 37,868,200.00      

 

  Coefficients Standard Error t Stat P-value
Intercept fill in the blank 491c8af8afe4f84_3 86.068 6.863 0.000239
X Variable 1 fill in the blank 491c8af8afe4f84_4 0.340 0.340 9.81E-08
X Variable 2 fill in the blank 491c8af8afe4f84_5 0.006 17.446 5E-07

2. Using the cost equation from Requirement 1, calculate the total expected material handling cost for November if 350 moves are expected and 17,000 pounds of material will be moved (round final answer to the nearest dollar).

Expected material handling cost: $fill in the blank 491c8af8afe4f84_6

3. For the coming year, McCourt expects 3,940 moves involving a total of 204,000 pounds. Calculate the following:

Total expected fixed costs (round to the nearest dollar): $fill in the blank 491c8af8afe4f84_7
Total material handling cost (add each component in the equation and then round to the nearest dollar): $fill in the blank 491c8af8afe4f84_8

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Given,

The staff of controller of McCourt Company added the variable "pounds moved" to the ten-month data set:

Month Materials Handling Cost Number of Moves Pounds Moved
January 5600 475 12,000
February   3,090 125 15,000
March   2,780 175   7,800
April   8,000 600 29,000
May   1,990 200      600
June   5,300 300 23,000
July   4,300 250 17,000
August   6,300 400 25,000
September   2,000 100   6,000
October   6,240 425 22,400
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