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Q. Assume MTSU is attempting to conclude what factors drive its demand for MBA student credit hours (dependent variable). Information is available on following independent variables:

P (tuition per credit hour in dollars), A (average age of students in years), I (average income of students in $1000), C (commuting distance to campus in miles). A regression is calculated with following output.
Coefficient
Variable Value t-value
Intercept +5,000 2.10
P -30 2.30
I +400 2.05
A +75 3.50
C - 50 1.99

(a) Write estimated demand equation.

(b) If P = 400, A=35, I=50 and C=60-Illustrate what is value of dependent variable?

(c) Consider this a first crude regression effort. Comment on where all se variables should remain in estimation and describe two or independent variables you think would make sense to include-defining units of measurement and specifying why se variables are important.

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Business Economics, Economics

Category:- Business Economics
Reference No.:- M9292930

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