2. Copy and paste the following data into Excel 4.80 1170 $4.531235 3.98 1337 S3
ID: 1104230 • Letter: 2
Question
2. Copy and paste the following data into Excel 4.80 1170 $4.531235 3.98 1337 S3.72 1442 $3.49 1548 a. Run OLS to determine the inverse demand function (P-fQ; how much confidence do you b. Using calculus to determine dQ/dP, construct a column which calculates the point-price elasticity c. What is the point price elasticity of demand when P-S3.98? What is the point price elasticity of d. To maximize total revenue, what would you recommend if the company was currently charging e. Use your indirect demand function to determine an equation for TR and MR as a function of Q f. What is the total-revenue maximizing price and quantity, and how much revenue is earned there? have in this estimated equation? Use algebra to then find the direct demand function (Q = f(P) for each (P.Q) combination. demand when P=$3.81? P=$453? If it was charging P=$3.81? and create a graph ofP and MR on the vertical and Q on the horizontal axis Compare that to the TR when P = $4.80 and P = $3.81Explanation / Answer
a) P = 8.85-0.0035Q
Regression Statistics
Multiple R
0.982068
R Square
0.964458
Adjusted R Square
0.952611
Standard Error
0.119518
Observations
5
ANOVA
df
SS
MS
F
Significance F
Regression
1
1.162867
1.162867
81.40758
0.002875
Residual
3
0.042853
0.014284
Total
4
1.20572
Coefficients
Standard Error
t Stat
P-value
Lower 95%
Upper 95%
Lower 95.0%
Upper 95.0%
Intercept
8.854859
0.529256
16.73077
0.000465
7.17053
10.53919
7.17053
10.53919
X Variable 1
-0.00353
0.000391
-9.02261
0.002875
-0.00477
-0.00228
-0.00477
-0.00228
Confident at95% level of confidence since the value lies in the CI.
b)
P = 8.85-0.0035Q
dP/dQ = -0.0035
dQ/dP = -1/0.0035
dQ/dP = 285.71
Elasticity:
e= dQ/dP*(P/Q)
c) P = $3.98
TR = P*Q = 3.98*1337
=$5321.26
P = $3.81
At P = 3.81
3.81 = 8.85-0.0035Q
0.0035Q = 8.85-3.81
Q = 1440
TR = 3.81*1440
=$ 5486.4
d)
P = $4.53
Q = 1235
TR = 4.53*1235
=$5594.55
TR is maximized at P = $4.53
AT $3.81 Revenue can be increased by charging $4.53 instead.
Regression Statistics
Multiple R
0.982068
R Square
0.964458
Adjusted R Square
0.952611
Standard Error
0.119518
Observations
5
ANOVA
df
SS
MS
F
Significance F
Regression
1
1.162867
1.162867
81.40758
0.002875
Residual
3
0.042853
0.014284
Total
4
1.20572
Coefficients
Standard Error
t Stat
P-value
Lower 95%
Upper 95%
Lower 95.0%
Upper 95.0%
Intercept
8.854859
0.529256
16.73077
0.000465
7.17053
10.53919
7.17053
10.53919
X Variable 1
-0.00353
0.000391
-9.02261
0.002875
-0.00477
-0.00228
-0.00477
-0.00228
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