1. Modernization
2. An increase in people's interest in technology, making it soon become an item for sale.
3. Increasing the benefit of these industries (The benefit being financially)
Answer:
The corresponding budgets in column B from which dollar amounts are transferred directly is paired correctly with the budgets listed in Column A.
as shown in the explanation section below
Explanation:
Solution
Given that
COLUMN A COLUMN B
1.Budgeted Income statement – (e)Sales Budget
2.Budgeted Balance sheet – (d)Payables Budget
3.Flow Cash Budget – (a)Direct materials budget
4. cost of goods sold – (b)cost of goods sold Budget
5.production Budget – (c)production Budget
Note: This is the complete question to this example.
Complete question
Identify the budgets in Column B from which dollar amounts are transferred directly in constructing the budgets listed in Column A.
Column A
1. Budgeted income statement
2. Budgeted balance sheet
3. Cash flow budget
4. Cost of goods sold budget
5. Production budget
Column B
a. Direct materials budget
b. Cost of goods sold budget
c. Production budget
d. Payables budget
e. Sales budget
f. Budgeted income statement
Answer:
Explanation:
a. In a regression equation expressed as y= a + bx, how is the letter b best described?
Here, b is the slope and best described as the estimate of the cost when there's a visit of an additional customer.
b. How is the letter y in the regression equation best described?
The letter y is the observed store cost for that particular month.
c. How is the letter x in the regression equation best described?
The letter x is the observed customer visit for that particular month.
d. Based on the data derived from the regression analysis, what are the estimated costs for 370 customer-visits in a month?
The estimated cost for 370 customer visit will be:
Y = a + bx
where,
a =$1496
b = $2.08
x = 370 customer visit
Y = $1496 + ($2.08 × 370 customer visit)
= $1496 + $769.6
= $2265.6
e. What is the percent of the total variance that can be explained by the regression equation?
The percent of total variance which the regression equation explain will be:
R2 = 0.86814 or 86.814%
B. thats the answer i got