Question : 99. You run a regression analysis and receive the following results: Multiple : 1291695

 

99. You run a regression analysis and receive the following results: 

Multiple R

.39429

 

 

 

R Square

.15547

 

 

 

Adjusted R Square

.14964

 

 

 

Standard Error

.44416

 

 

 

 

 

 

 

 

Analysis of Variance

 

 

 

 

DF

Sum of Squares

Mean Square

 

Regression

    1

  5.26588

5.26588

 

Residual

145

28.60536

  .19728

 

 

 

 

 

 

F = 26.69262

Signif F = .0000

 

 

 

 

 

 

 

 

Variables in the Equation

Variable

Coefficients

Standard error

t Stat

P-value

X Variable 1

    11.0300

.021000

5.166

.0000

Intercept

8833.0700

.090000

9.751

.0000

 

 

 

 

 

 

Required: 

A.

What is the fixed cost in this regression analysis?

 

 

B.

What is the variable cost per unit?

 

 

C.

Prepare the cost equation based upon these results.

 

 

D.

Does this regression equation “fit” the data well? What information did you examine to answer this question?

 

 

 

 

 

100. Pearson Products believes one of its costs is a mixed cost and has run a regression analysis which shows the following: 

SUMMARY OUTPUT

 

 

 

 

 

 

 

 

 

 

 

Regression Statistics

 

 

 

 

Multiple R

0.963711945

 

 

 

 

R Square

0.928740713

 

 

 

 

Adjusted R Square

0.916864165

 

 

 

 

Standard Error

946.0983069

 

 

 

 

Observations

8

 

 

 

 

 

 

 

 

 

 

ANOVA

 

 

 

 

 

 

df

SS

MS

F

Significance F

Regression

1

69996575.46

69996575.46

78.19955153

0.000116235

Residual

6

5370612.038

895102.0063

 

 

Total

7

75367187.5

 

 

 

 

 

 

 

 

 

 

Coefficients

Standard Error

t Stat

P-value

 

Intercept

11568.56000

1352.390000

8.554149469

0.000140059

 

X Variable 1

1.9800000

0.223900000

8.843051031

0.000116235

 

 

 

 

 

 

 

Required: 

A.

Write the equation to predict estimated total mixed costs.

 

 

B.

If 1,000 units are produced, what will be total mixed costs?

 

 

C.

What does the “R Square” number tell Pearson? Interpret the “R Square” data for Pearson.

 

 

 

 

 

101. Noble Inc. documented the number of units produced as well as maintenance costs for the past five months as follows: 

 

Number of units

Total overhead costs

October

120,000

$  6,200

November

180,000

  10,000

December

100,000

    6,000

January

110,000

    8,000

February

135,000

    9,000

 

 

 

Noble uses the high/low method of estimating mixed costs.Required: 

A.

What is the equation to predict estimated total overhead costs?

 

 

B.

If the company expects to produce 150,000 units in March, what will be the estimated total overhead costs?

 

 

 

 

 

102. Reliable Movers Inc. documented the miles driven and total moving van costs for the past five months as follows: 

 

Number of miles

Total vehicle costs

January

3,000

$4,800

February

3,500

  5,200

March

5,000

  6,100

April

4,000

  5,000

May

6,000

  6,000

 

 

 

In order to budget total vehicle costs for the upcoming summer months, Reliable wishes to estimate total vehicle costs using the high/low method.Required: 

A.

What is the equation to predict estimated total vehicle costs?

 

 

B.

If the company expects to drive 9,000 miles in June, what will be the estimated total vehicle costs?

 

 

 

 

 

103. A manager is considering a special project that will increase cash sales by $80,000 and increase costs by $30,000. All cash receipts are taxable and all costs are tax deductible. If the tax rate is 30%, what will be the after-tax profit from the special project? 

 

 

 

 

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