Multiple Choice
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 by using data from the past 24 months.How would we interpret the coefficient on x4?
A) On an average,we would expect an additional 1.05 loans per month during June,July,and August.
B) On an average,we would expect an additional $1.05 million in loans during June,July,and August.
C) On an average,we would expect an additional 1.05% increase in loans during June,July,and August.
D) There is no difference in the total residential loan amount between the months of June and September.
Correct Answer:

Verified
Correct Answer:
Verified
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