Calculate the t-statistics for each variable and explain


Use the equation:

Qd = 5,000 - 15P + 50A + 3Px - 4I

Qd = Quantity Demanded of X,

P = Price of Good X,

A = Advertising Expenditures on Good X,

Py = Price of a Competitive Good,

I = Average Monthly Income

The Standard Errors of the Regression Coefficients are:

Intercept (2,117)

Coefficient on P (2.7)

Coefficient on A (15)

Coefficient on Py (2)

Coefficient on I (3)

Calculate the t-statistics for each variable and explain what inferences can be drawn from them. If R2 of this equation is 0.25, what inference can be drawn from it?

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Business Economics: Calculate the t-statistics for each variable and explain
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