The ATV Company produces a specialty cement used in the construction of roads. ATV is a price-setting firm and estimates the demand for its cement using a demand function in the linear form:                                                                            Q = f (P, M, PR) where Qc = demand for cement/month (in yards) Pc = the price of cement per yard, M = country’s tax revenues per capita, and PR = the price of asphalt per yard. The manager of ATV obtained the following results in her attempt to estimate the demand for cement in the succeeding months.  The results are presented below: DEPENDENT VARIABLE Qc     R-    SQUARE       F-RATIO    P-VALUE ON F OBSERVATIONS  64             0.8093         84.872         0.0001           VARIABLE   PARAMETER    ESTIMATE STANDARD ERROR      T-RATIO        P-VALUE               INTERCEPT              8.20                4.01       2.04                 0.0461 PC       -3.54         1.64  -2.16          0.0357 M         0.64287         0.19   3.38          0.0014 PA        0.7854         0.38   2.07          0.0439 1. If the price of cement per yard increases by 10, what will happen to the estimated quantity of cement demanded? What happens if it will increase by 20%? 2. If tax revenue per capita (M) increases by 10, what will happen to the estimated quantity of cement demanded? 3. Write the resulting regression equation.

Managerial Economics: Applications, Strategies and Tactics (MindTap Course List)
14th Edition
ISBN:9781305506381
Author:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris
Publisher:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris
Chapter4: Estimating Demand
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The ATV Company produces a specialty cement used in the construction of roads. ATV is a price-setting firm and estimates the demand for its cement using a demand function in the linear form:

                                                                           Q = f (P, M, PR)

where Qc = demand for cement/month (in yards) Pc = the price of cement per yard, M = country’s tax revenues per capita, and PR = the price of asphalt per yard. The manager of ATV obtained the following results in her attempt to estimate the demand for cement in the succeeding months.  The results are presented below:

DEPENDENT VARIABLE

Qc

    R-    SQUARE

      F-RATIO  

 P-VALUE ON F

OBSERVATIONS

 64   

         0.8093

        84.872

        0.0001

         

VARIABLE

 

PARAMETER    ESTIMATE

STANDARD ERROR

     T-RATIO

       P-VALUE

           

 

INTERCEPT

 

     

     8.20

      

        4.01

  

   2.04

      

         0.0461

PC

 

    -3.54

        1.64

 -2.16

         0.0357

M

  

     0.64287

        0.19

  3.38

         0.0014

PA

 

     0.7854

        0.38

  2.07

         0.0439

1. If the price of cement per yard increases by 10, what will happen to the estimated quantity of cement demanded? What happens if it will increase by 20%?

2. If tax revenue per capita (M) increases by 10, what will happen to the estimated quantity of cement demanded?

3. Write the resulting regression equation.



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