RI = Operating income - (Minimum required rate of return x Operating assets)
RI = 500,000 - (0.08 x 5,200,000)
RI = 84,000
Residual income is $84,000
Answer:
A). A real estate development company wants to estimate the probable sales of construction services on the basis of marriage rates, population movement in the region, and interest rates on construction loans.
Explanation:
Multiple regression is elucidated as the statistical technique employed to determine the association between two or more dependent or response and independent/explanatory variables.
As per the question, the multiple regression can be employed in the first situation where 'a real estate company wishes to forecast the probable sales of construction on the basis of....loans.' Multiple regression analysis would help in representing the linear relationship between these two variables that helps in ensuring effective analysis and making predictions and ensuring optimum output. Thus, <u>option A</u> is the correct answer.
Answer:
variability
Explanation:
When a worker is performing a task, he or she might come across a situation that is not expected or a situation not experienced before. Task variability enables the prediction of certain tasks, especially where those task are standardized and repetition of such reduces task variability.
Also, any exceptions experienced when carrying out a duty either in a new situation or at any stage in the value creation process, such would eventually make task variability high. In other words, take variability refers to the numbers of exceptions, a worker experienced when carrying out a duty.
Answer:
Total= 36,800 pounds
Explanation:
Giving the following information:
Sales (units ) - Production (units):
May: 20,000 - 19,000
June: 18,000 - 16,000
Two pounds of material is required for each finished unit. The inventory of materials at the end of each month should equal 20% of the following month's production needs.
Purchases for May= production for the month + desired ending inventory - beginning inventory
Production= 19,000*2 pounds= 38,000 pounds
Desired ending inventory= (16,000*2)*0.2= 6,400 pounds
Beginning inventory= (38,000*0.2)= (7,600)
Total= 36,800 pounds
Answer:
Credit to refund liability of $280,000.
Explanation:
The year end adjusting entry would be
Sales Return $280,000 ($21 million × 8% - $1,400,000)
Refund Liability $280,000
(Being the anticipated sales return is recorded)
Here the sales return is debited as it increased the sales return and the refund liability is credited as it increased the liabilities
The same is to be considered