Deck 6: Forecasting and Pro Forma Financial Statements
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Deck 6: Forecasting and Pro Forma Financial Statements
1
On a pro forma income statement, all values will increase by the same percentage as sales increase.
False
2
Judgmental models are quantitative because they use expert opinion and previous experience to determine the forecast.
False
3
Lenders require pro forma statements because they want to make sure the business will generate enough profit for the owner to get a large salary.
False
4
Time Series models use historical records that are readily available within the firm to predict future sales.
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5
There is a direct relationship between the forecast accuracy and time.
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6
The longer the time horizon, the more accurate the forecast will be.
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7
The start -up business has very little history.
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8
Once we select a forecasting model, changing market conditions may require us to change the model if it no longer performs as desired.
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9
Time Series models use previous experience to determine the forecast.
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10
Operating margin often increases by an amount greater than the increase in sales.
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11
One should only forecast the best -case scenario.
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12
Lenders require pro forma statements because they want to make sure the business will generate enough profit to pay back both the principal and interest on the loan.
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13
Historical Analogy uses historical records that are readily available within the firm to predict future sales.
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14
The vast majority of entrepreneurs desire to go into a business where they already have some prior experience.
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15
In the percentage of sales method of determining new financing, if the final number is positive we do not require new financing.
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16
A forecast is an accurate estimate of future demand.
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17
Start -up expenses are those expenses that will be incurred by the business one time.
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18
Judgmental models are qualitative because they use expert opinion and previous experience to determine the forecast.
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19
The difference between an actual figure and a budgeted figure is known as a variance.
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20
An increase in sales on the income statement will cause a buildup in assets.
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21
The forecasting model that is not a time series model is
A) exponential smoothing.
B) historical analogy.
C) mean absolute deviation.
D) moving average.
E) weighted moving average.
A) exponential smoothing.
B) historical analogy.
C) mean absolute deviation.
D) moving average.
E) weighted moving average.
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22
The forecasting model that uses a panel of experts who may not even know each other is the model.
A) Delphi Method
B) Historical Analogy
C) Market Research
D) Survey of Customers
E) Survey of Sales Forces
A) Delphi Method
B) Historical Analogy
C) Market Research
D) Survey of Customers
E) Survey of Sales Forces
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23
Table 6 -1. Actual Sales Data

Refer to Table 6 -1. Using the exponential smoothing model with an a of 0.2 and a smoothed forecast for period 1 of 350, what is the forecast for period 4?
A) 349
B) 355
C) 369
D) 385
E) 402

Refer to Table 6 -1. Using the exponential smoothing model with an a of 0.2 and a smoothed forecast for period 1 of 350, what is the forecast for period 4?
A) 349
B) 355
C) 369
D) 385
E) 402
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24
Table 6 -1. Actual Sales Data

Refer to Table 6 -1. Using a weighted moving average with weights of 0.1, 0.3, and 0.6, the forecast sales for periods 4 and 5 are approximately
A) 363 and 399.
B) 383 and 418.
C) 403 and 435.
D) 418 and 448.
E) 435 and 460.

Refer to Table 6 -1. Using a weighted moving average with weights of 0.1, 0.3, and 0.6, the forecast sales for periods 4 and 5 are approximately
A) 363 and 399.
B) 383 and 418.
C) 403 and 435.
D) 418 and 448.
E) 435 and 460.
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25
Table 6 -1. Actual Sales Data

Refer to Table 6 -1. Using the exponential smoothing model with an a of 0.2 and a smoothed forecast for period 1 of 350, what is the forecast for period 2?
A) 349
B) 355
C) 369
D) 385
E) 402

Refer to Table 6 -1. Using the exponential smoothing model with an a of 0.2 and a smoothed forecast for period 1 of 350, what is the forecast for period 2?
A) 349
B) 355
C) 369
D) 385
E) 402
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26
The forecasting model that uses the constant alpha as an adjustment is
A) exponential smoothing.
B) historical analogy.
C) mean absolute deviation.
D) moving average.
E) weighted moving average.
A) exponential smoothing.
B) historical analogy.
C) mean absolute deviation.
D) moving average.
E) weighted moving average.
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27
The forecasting model that assumes previous time periods have some influence on future sales, but the influence varies by time period, is
A) exponential smoothing.
B) historical analogy.
C) mean absolute deviation.
D) moving average.
E) weighted moving average.
A) exponential smoothing.
B) historical analogy.
C) mean absolute deviation.
D) moving average.
E) weighted moving average.
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28
The formula for a regression line is Y = a + bx. If your solution is Y = 15 + 4x, then the regression line will move
A) up and to the left.
B) down and to the right.
C) up and to the right.
D) down and to the left.
E) Cannot tell with the information provided.
A) up and to the left.
B) down and to the right.
C) up and to the right.
D) down and to the left.
E) Cannot tell with the information provided.
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29
The formula for a regression line is Y = a + bx. If your solution is Y = 15 - 4x, then the regression line will move
A) up and to the left.
B) down and to the right.
C) down and to the left.
D) up and to the right.
E) Cannot tell with the information provided.
A) up and to the left.
B) down and to the right.
C) down and to the left.
D) up and to the right.
E) Cannot tell with the information provided.
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30
Table 6 -1. Actual Sales Data

Refer to Table 6 -1. Using a three -month moving average, the forecast sales for periods 5 and 7 are approximately
A) 383 and 418.
B) 383 and 448.
C) 418 and 448.
D) 418 and 473.
E) 448 and 473.

Refer to Table 6 -1. Using a three -month moving average, the forecast sales for periods 5 and 7 are approximately
A) 383 and 418.
B) 383 and 448.
C) 418 and 448.
D) 418 and 473.
E) 448 and 473.
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31
When interest rates increase by one percent, housing starts will decrease by five percent. The forecasting method that is used for this data is
A) cause and effect.
B) qualitative.
C) quantitative.
D) expert opinion.
A) cause and effect.
B) qualitative.
C) quantitative.
D) expert opinion.
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32
Table 6 -1. Actual Sales Data

Refer to Table 6 -1. Using a three -month moving average, the forecast sales for periods 4 and 6 are approximately
A) 383 and 418.
B) 383 and 448.
C) 418 and 448.
D) 418 and 473.
E) 448 and 473.

Refer to Table 6 -1. Using a three -month moving average, the forecast sales for periods 4 and 6 are approximately
A) 383 and 418.
B) 383 and 448.
C) 418 and 448.
D) 418 and 473.
E) 448 and 473.
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33
The absolute value of any number is
A) positive.
B) positive or negative.
C) zero.
D) negative.
A) positive.
B) positive or negative.
C) zero.
D) negative.
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34
The forecasting model that assumes previous time periods have an equal influence on future sales is
A) exponential smoothing.
B) historical analogy.
C) mean absolute deviation.
D) moving average.
E) weighted moving average.
A) exponential smoothing.
B) historical analogy.
C) mean absolute deviation.
D) moving average.
E) weighted moving average.
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35
In those months where cash inflows exceed cash outflows, we repay the lender the amount that exceeds the minimum cash balance.
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36
One does not need to determine if the operating expenses are in line with industry averages.
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37
An income statement is a cash flow statement.
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38
Table 6 -1. Actual Sales Data

Refer to Table 6 -1. Using a three -month moving average, the forecast sales for periods 4 and 5 are approximately
A) 383 and 418.
B) 383 and 448.
C) 418 and 448.
D) 418 and 473.
E) 448 and 473.

Refer to Table 6 -1. Using a three -month moving average, the forecast sales for periods 4 and 5 are approximately
A) 383 and 418.
B) 383 and 448.
C) 418 and 448.
D) 418 and 473.
E) 448 and 473.
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39
Table 6 -1. Actual Sales Data

Refer to Table 6 -1. Using a three -month moving average, the forecast sales for periods 5 and 6 are approximately
A) 383 and 418.
B) 383 and 448.
C) 418 and 448.
D) 418 and 473.
E) 448 and 473.

Refer to Table 6 -1. Using a three -month moving average, the forecast sales for periods 5 and 6 are approximately
A) 383 and 418.
B) 383 and 448.
C) 418 and 448.
D) 418 and 473.
E) 448 and 473.
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40
Table 6 -1. Actual Sales Data

Refer to Table 6 -1. Using the exponential smoothing model with an a of 0.2 and a smoothed forecast for period 1 of 350, what is the forecast for period 3?
A) 349
B) 355
C) 369
D) 385
E) 402

Refer to Table 6 -1. Using the exponential smoothing model with an a of 0.2 and a smoothed forecast for period 1 of 350, what is the forecast for period 3?
A) 349
B) 355
C) 369
D) 385
E) 402
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41
The formula for a regression line is Y = a + bx. If your solution is Y = 15 + 4x and the value of x is 5, then the value of a is
A) 4.
B) 5.
C) 15.
D) 35.
A) 4.
B) 5.
C) 15.
D) 35.
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42
Which of the following is an example of a profit center?
A) marketing
B) research and development
C) personnel
D) none of the above
A) marketing
B) research and development
C) personnel
D) none of the above
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43
With the regression function, the area of variation that represents general growth or decline within an industry is
A) noise.
B) economic.
C) seasonal.
D) trend line.
E) cyclical.
A) noise.
B) economic.
C) seasonal.
D) trend line.
E) cyclical.
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44
Which of the following is the correct sequence of events?
A) pro forma balance sheet, pro forma income statement, pro forma cash budget
B) pro forma balance sheet, pro forma cash budget, pro forma income statement
C) pro forma income statement, pro forma cash budget, pro forma balance sheet
D) None of the above.
A) pro forma balance sheet, pro forma income statement, pro forma cash budget
B) pro forma balance sheet, pro forma cash budget, pro forma income statement
C) pro forma income statement, pro forma cash budget, pro forma balance sheet
D) None of the above.
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45
Table 6 -2.

Refer to Table 6 -2. The regression line formula for this set of numbers is
A) Y = 230 + 11x.
B) Y = 228.66 + 230x.
C) Y = 235 + 8.98x.
D) Y = 8.98 + 228.66x.
E) Y = 228.66 + 8.98x.

Refer to Table 6 -2. The regression line formula for this set of numbers is
A) Y = 230 + 11x.
B) Y = 228.66 + 230x.
C) Y = 235 + 8.98x.
D) Y = 8.98 + 228.66x.
E) Y = 228.66 + 8.98x.
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46
XYZ Company has assets that are traditionally 80% of sales, and its liabilities traditionally are 30% of sales. Sales for this year are $70,000 and sales for next year are projected to be $120,000 with a profit margin of 6%. No owner payout will be taken. Using the percentage of sales method, XYZ will need
A) $7,200
B) $25,000
C) $17,800
D) $30,000 of additional financing.
E) No financing is required.
A) $7,200
B) $25,000
C) $17,800
D) $30,000 of additional financing.
E) No financing is required.
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47
Which of the following is a variable expense?
A) a utility bill
B) a phone bill
C) a security deposit
D) sales commission
A) a utility bill
B) a phone bill
C) a security deposit
D) sales commission
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48
With the regression function, the area of variation that represents unexplained changes is
A) seasonal.
B) noise.
C) trend line.
D) economic.
E) cyclical.
A) seasonal.
B) noise.
C) trend line.
D) economic.
E) cyclical.
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49
XYZ Company has assets that are traditionally 85% of sales, and its liabilities traditionally are 50% of sales. Sales for this year are $50,000 and sales for next year are projected to be $150,000 with a profit margin of 10%. No owner payout will be taken. Using the percentage of sales method, XYZ will need
A) $15,000
B) $70,000
C) $52,500
D) $20,000 of additional financing.
E) No financing is required.
A) $15,000
B) $70,000
C) $52,500
D) $20,000 of additional financing.
E) No financing is required.
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50
You have a current balance sheet with liabilities of $50,000 and assets of $75,000. You estimate that you will have to purchase a new vehicle next year for $20,000. You believe you will be able to pay 20% down and can finance the remainder through your bank. If nothing else changes, your pro forma balance sheet will show assets of and liabilities of .
A) $95,000; $66,000
B) $95,000; $70,000
C) $91,000; $66,000
D) $91,000; $54,000
A) $95,000; $66,000
B) $95,000; $70,000
C) $91,000; $66,000
D) $91,000; $54,000
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51
Operating expenses can be separated into
A) expenses that increase as sales increase.
B) expenses that do not increase with sales.
C) mortgage and lease payments that increase with sales.
D) all of the above.
A) expenses that increase as sales increase.
B) expenses that do not increase with sales.
C) mortgage and lease payments that increase with sales.
D) all of the above.
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52
Which of the following is a cash payment?
A) operating expenses
B) labor costs
C) inventory purchases
D) all of the above
A) operating expenses
B) labor costs
C) inventory purchases
D) all of the above
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53
With the regression function, the area of variation that represents changes due to general economic factors that affect an industry is
A) trend line.
B) cyclical.
C) seasonal.
D) economic.
E) noise.
A) trend line.
B) cyclical.
C) seasonal.
D) economic.
E) noise.
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54
Which of the following are reasons to generate a pro forma cash budget on a monthly basis?
A) Sales are recognized as income when the sale is made.
B) A business can monitor the actual cash on hand.
C) An income statement indicates a profit but the budget may indicate a loss.
D) All of the above.
A) Sales are recognized as income when the sale is made.
B) A business can monitor the actual cash on hand.
C) An income statement indicates a profit but the budget may indicate a loss.
D) All of the above.
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55
XYZ Company has assets that are traditionally 75% of sales, and its liabilities traditionally are 20% of sales. Sales for this year are $100,000 and sales for next year are projected to be $200,000 with a profit margin of 8%. The owners take a 60% payout. Using the percentage of sales method, XYZ will need
A) $70,000
B) $68,400
C) $48,600
D) $50,000 of additional financing.
E) No new financing is required.
A) $70,000
B) $68,400
C) $48,600
D) $50,000 of additional financing.
E) No new financing is required.
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56
The formula for a regression line is Y = a + bx. If your solution is Y = 15 + 4x and the value of x is 5, then the value of Y is
A) 4.
B) 5.
C) 15.
D) 35.
A) 4.
B) 5.
C) 15.
D) 35.
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