THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:
A loan officer is interested in examining the determinants of the total dollar value of residential loans made during a month.She used Y = β0 + β1X1 + β2X2 + β3X3 + β4X4 + ε to model the relationship,where Y is the total dollar value of residential loans in a month (in millions of dollars) ,X1 is the number of loans,X2 is the interest rate,X3 is the dollar value of expenditures of the bank on advertising (in thousands of dollars) ,and X4 is a dummy variable equal to 1 if the observation is either June,July,or August.
-Suppose that she obtained = 3.8 + 0.23x1 - 1.31x2 + 0.032x3 + 1.05x4 - 0.22x3x4 by using data from the past 24 months.How would we interpret the coefficient of x3x4?
A) On an average,we would expect $220,000 less in loans during the months of June,July,and August.
B) Advertising is more effective during June,July,and August.
C) Advertising is less effective in June,July,and August.
D) On an average,we would expect $220,000 more in loans during the months of June,July,and August.
Correct Answer:
Verified
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