Below is budgeted production and sales information for Flushing Company for the month of December: Product XXXProduct ZZZ
Estimated beginning inventory 32,000 units 20,000 units
Desired ending inventory 34,000 units 17,000 units
Region I, anticipated sales320,000 units260,000 units
Region II, anticipated sales180,000 units140,000 units

The unit selling price for product XXX is $5 and for product ZZZ is $15.

Budgeted production for product XXX during the month is
a. 498,000 units
b. 566,000 units
c. 534,000 units
d. 502,000 units

Bernice paid $162 in interest on a loan of $1800 borrowed at 6%. how long did it take her to pay the loan off?

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1. the manager of collins import autos believes the number of cars sold in a day (q) depends on two factors: (1) the number of hours the dealership is open (h) and (2) the number of salespersons working that day (s). after collecting data for two months (53 days), the manager estimates the following log-linear model: q 4 equation 1 a. explain, how to transform the log-linear model into linear form that can be estimated using multiple regression analysis. the computer output for the multiple regression analysis is shown below: q4 table b. how do you interpret coefficients b and c? if the dealership increases the number of salespersons by 20%, what will be the percentage increase in daily sales? c. test the overall model for statistical significance at the 5% significance level. d. what percent of the total variation in daily auto sales is explained by this equation? what could you suggest to increase this percentage? e. test the intercept for statistical significance at the 5% level of significance. if h and s both equal 0, are sales expected to be 0? explain why or why not? f. test the estimated coefficient b for statistical significance. if the dealership decreases its hours of operation by 10%, what is the expected impact on daily sales?