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125.      The following data has been assembled for VaVaVoom Company. Use the high-low method.

               Cost          Hours

               $24,400          2,000
               34,000          2,600
               31,280          2,450
               36,400          3,000
               44,160          3,900
               
     The total fixed cost is:

     a.     $26,672
     b.     $21,360
     c.     $10,112
d.     $3,600


126.      The following data has been assembled for Yippee Company. Use the high-low method.
     
               Cost          Hours

               $24,400          2,000
               34,000          2,600
               31,280          2,450
               36,400          3,000
               44,160          3,900
               
     The cost function is stated as:

     a.     Y = $26,672 + $1.84X
     b.     Y = $21,360 + $1.52X
     c.     Y = $10,112 + $8.64X
     d.     Y = $3,600 + $10.40X
127.      The following data has been assembled for Zowie Company. Use the high-low method.

               Cost          Hours

               $24,400          2,000
               34,000          2,600
               31,280          2,450
               36,400          3,000
               44,160          3,900
               
     The total cost at an operating level of 2,850 hours is:

     a.     $25,692
     b.     $33,240
     c.     $32,016
d.     $34,736


128.      The Kojak Company used regression analysis to predict the annual cost of utilities.
     The results were as follows:

     Utilities Cost
     Explained by Direct Labor Hours

                Constant      $2,500                          Standard error of Y estimate      $545.20
                R squared      0.8650
                No. of observations      30
                Degrees of freedom      28

                X coefficient(s)      2.037
                Standard error of coefficient(s)      0.917

     The total fixed cost is:

     a.     $2,500
     b.     $545.20
     c.     $2.037
     d.     None of these answers is correct.


129.      The Kojak Company used regression analysis to predict the annual cost of utilities.
     The results were as follows:

     Utilities Cost
     Explained by Direct Labor Hours

                Constant      $9,650
                Standard error of Y estimate      $875.20
                R squared      0.7650
                No. of observations      33
                Degrees of freedom      31

                X coefficient(s)      4.437
                Standard error of coefficient(s)      0.917

     The variable cost per direct labor hour is:


     a.     $875.20
     b.     $0.765
     c.     $4.437
     d.     $0.917

130.      The Kojak Company used regression analysis to predict the annual cost of utilities.
     The results were as follows:

     Utilities Cost
     Explained by Direct Labor Hours

                Constant      $9,650
                Standard error of Y estimate      $245.20
                R squared      0.8650
                No. of observations      30
                Degrees of freedom      28

                X coefficient(s)      5.437
                Standard error of coefficient(s)      0.917

     The linear cost function is:

     a.     Y = $9,650 + $5.437X
     b.     Y = $245.20 + $5.437X
     c.     Y = $9,650 + $0.0917X
     d.     None of these answers is correct.


131.      The Kojak Company used regression analysis to predict the annual cost of utilities.
     The results were as follows:

     Utilities Cost
     Explained by Direct Labor Hours

                Constant      $6,650
                Standard error of Y estimate      $745.20
                R squared      0.9650
                No. of observations      30
                Degrees of freedom      28

                X coefficient(s)      9.437
                Standard error of coefficient(s)      0.217

     The coefficient of determination is:

     a.     0.217
     b.     30
     c.     9.437
     d.     0.9650

132.      The Brady Corporation used regression analysis to predict the annual cost of indirect      materials. The results were as follows:

     Indirect Materials Cost
     Explained by Units Produced

                Constant      $13,885
                Standard error of Y estimate      $9,560
                R squared      0.7832
                No. of observations      22
                Degrees of freedom      20

                X coefficient(s)      11.75
                Standard error of coefficient(s)      2.1876

     The total fixed cost is:

     a.     $9,560
     b.     $13,885
     c.     $15,664
d.     $20,100


133.      The Partridge Corporation used regression analysis to predict the annual cost of indirect materials. The results were as follows:

     Indirect Materials Cost
     Explained by Units Produced

                Constant      $21,885
                Standard error of Y estimate      $4,560
                R squared      0.7832
                No. of observations      22
                Degrees of freedom      20

                X coefficient(s)      9.75
                Standard error of coefficient(s)      4.1876

     The variable cost per unit of product is:

     a.     $4.19
     b.     $0.78
     c.     $2.20
     d.     $9.75
     

134.      The Partridge Corporation used regression analysis to predict the annual cost of indirect materials. The results were as follows:

     Indirect Materials Cost
     Explained by Units Produced

                Constant      $19,885
                Standard error of Y estimate      $7,560
                R squared      0.7832
                No. of observations      22
                Degrees of freedom      20

                X coefficient(s)      9.75
                Standard error of coefficient(s)      2.1876

     The linear cost function is:

     a.     Y = $19,885 + $9.75X
     b.     Y = $7,560 + $2.19X
     c.     Y = $7,560 + $9.75X
     d.     None of these answers is correct.


135.      The Brady Corporation used regression analysis to predict the annual cost of indirect materials. The results were as follows:

     Indirect Materials Cost
     Explained by Units Produced

                Constant      $21,885
                Standard error of Y estimate      $4,560
                R squared      0.4932
                No. of observations      22
                Degrees of freedom      20

                X coefficient(s)      3.75
                Standard error of coefficient(s)      8.1876

     The coefficient of determination is:

     a.     8.1876
     b.     20
     c.     3.75
     d.     0.4932

136.     


 

     a.     The high-low method
     b.     The visual-fit method
     c.     The coefficient of determination
     d.     Regression analysis

137.     


 

     a.     The high-low method
     b.     The visual-fit method
     c.     The coefficient of determination
     d.     Regression analysis

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