determined that the variable cost

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BUS 305                                                                                Name ____________________________

41 points possible

 

you may use your book, notes, StatCrunch and Excel, but you must not collaborate with any other person in any way.

 

 

1.            Functions (8 points)

 

a.            The Santara Leather Company makes fine leather objects. The company has determined that the variable cost to make one kind of its purses is $84 and the fixed cost of production is $2200. Write the total cost function, letting x be the number of purses that are made and sold.

 

C(x) =

 

 

 

b.            Santara has a contract to sell these purses to a store for $125 each. Write the revenue function, letting x be the number of purses that are made and sold.

 

                R(x) =

 

 

c.             Write the function for profit, letting x be the number of purses that are made and sold. Simplify.

 

                P(x) =

 

 

d.            What is the profit when 100 purses are made and sold?

 

 

 


2.            Understanding the derivative (5 points)

 

The derivative of a function is

 

a.            When x = 50, is the function increasing or decreasing? Explain.

 

 

 

 

 

 

b.            Where is the function changing more steeply—at x = 10 or at x = 20? Explain.     

 

 

 

 

 

 

 

3              Understanding the derivative (7 points)

 

The Santara Leather Company knows that price and demand for its laptop case are related according to this formula: , where p is the price they will charge.

 

a.            How much revenue will they make? Using p as the price and the demand function above, write revenue as a function of p and simplify. Remember: price times demand = revenue.

 

 

 

 

b.            What is the marginal revenue when the price is $250?

 

 

 

 

 

 

 

 

 

c.             Is it a good idea for the company to think about increasing the price of the laptop bag above $250? Explain.

 

 

 

 

 

Problems 4 – 6 are worth 3 points each. Highlight the best answer for each.

 

 
 

Exhibit 2

The multiple regression analysis output shown below is from a model created to explain prices of real estate. The dependent variable is selling price, and the independent variables are the number of bedrooms, the age of the house, and the value of homes in the neighborhood.

 

SUMMARY OUTPUT

 

 

 

 

 

 

 

 

 

 

 

Regression Statistics

 

 

 

 

Multiple R

0.7928

 

 

 

 

R Square

0.6285

 

 

 

 

Adjusted R Square

0.5754

 

 

 

 

Standard Error

7912.7887

 

 

 

 

Observations

25

 

 

 

 

 

 

 

 

 

 

ANOVA

 

 

 

 

 

 

df

SS

MS

F

Significance F

Regression

3

2224184891

741394963.7

11.84106

9.39574E-05

Residual

21

1314856709

62612224.24

 

 

Total

24

3539041600

 

 

 

 

 

 

 

 

 

 

Coefficients

Standard Error

t Stat

P-value

 

Intercept

87850.77

13170.81

6.67

0.00

 

Bedrooms = X1

6348.16

2212.80

2.87

0.01

 

Age = X2

102.30

70.23

1.46

0.16

 

Value = X3

0.26

0.10

2.69

0.01

 

       

 

4.         Referring to Exhibit 2, what is the regression equation?

            a.        

            b.        

c.        

d.        

 

5.         In Exhibit 2, how much variation in price is explained by the independent variables?

            a.         79%

            b.         63%

            c.         25%

            d.         9.39E-05%

 

6.         In Exhibit 2, which variable does not have a significant relationship with price?

            a.         Bedrooms = X1

            b.         Age = X2

            c.         Value = X3

            d.         X1 and X3

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

7.            (3 points) Which is the best description of the time series data shown in this plot?

 

 

a.            monthly data, positive trend, no seasonality, 8 cycles

b.            quarterly data, positive trend, seasonality

c.             annual data, no trend, multiple cycles

d.            daily data for one month, no trend, daily seasons

 

 

 

 

8.            (5 points) Records from a real estate office provide information about a sample of 800 properties. Use this data to test the hypothesis that the listing price and the number of days until sold are independent. Portions of StatCrunch output for this test follow.

 

 

 

Days until sold

 

Initial price

Under 30

31 to 90

Over 90

Total

Under $150,000

50

40

10

100

$150,000 to $199,000

20

150

80

250

$200,000 to $250,000

20

280

100

400

Over $250,000

10

30

10

50

Total

100

500

200

800

 

 

 

 

 

 

 

 

 

 

 

 

 

Under 30

31 to 90

Over 90

Total

Under $150,000

50
(xxxxxx)

40
(62.5)

10
(25)

100

$150,000 to $199,000

20
(31.25)

150
(156.25)

80
(62.5)

250

$200,000 to $250,000

20
(50)

280
(250)

100
(100)

400

Over $250,000

10
(6.25)

30
(31.25)

10
(12.5)

50

Total

100

500

200

800

 

 

Chi-Square test:

Statistic

DF

Value

P-value

Chi-square

6

163.2

 

 

 

a.            The expected number of properties in the Under $150,000 row and Under 30 column has been x’d out. What value should appear there? Explain how this number would be calculated.

 

 

 

 

 

 

b.            With .05 in the tail and 6 degrees of freedom, the critical chi square value is 12.592. As the output indicates, the value of the sample test statistic is 163.2. Is the p-value for this test larger or smaller than .05? Explain your answer.

 

 

 

 

 

 

 

c.             Is price independent of listing time? Explain.

 

 

 

 

 

 

 

 

9.            (4 points)For the last few years, patron contributions to the Arts Fund have been distributed according to the following proportions:

 

Description

Portrait

(up to $100)

Landscape

(up to $500)

Renaissance

(up to $1000)

Old Master

(over $1000)

Proportion

.35

.30

.20

.15

 

Lately, however, the fund directors are concerned that the economy may have impacted giving.

 

a.         State the appropriate null and alternative hypotheses to address this concern.

 

 

 

 

b.         Describe what statistical test should be used to test this hypothesis.

 

 

 

 

 

 

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