There is no price given for a forecast, you can choose to take a showcast price but then that's a s/c bet not a f/c.
Forecast dividends/returns are determined after the result is known. If the return for T1 & T4 is £1.84 then this means you get £1.84 for every pound you staked.
e.g. a £10.00 straight forecast on a dividend of £1.84 would return you £18.40 winnings!
Hope that makes sense!
A reverse forecast is for your selections that comes in first and second, can come in also in the reverse order. So that is effect two bets. Example. 1.50 at Newmarket, No. 1x2 Reverse Forecast or RFC £1.00 In effect you want 1x2 for 50p or 2x1 for 50p. To calculate the bet, the race must be completed and a dividend declared for the winning first and second place. Which is mentioned above, and I hope that makes things even more clear.
Divide the total sales by the total sales forecast
forecast
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In order to calculate profit (or loss), forecast potential earnings, manage inventory, compare different financing options are just a few. Calculate when an equipment purchase will be at break even (when net profit generated by it, or cost-savings realized from it are enough to pay for the machine) is yet another example. I could go on, but hopefully you get the idea.
There are 26 bets.
80
Enter two data series that correspond and select them. On the Data tab, in the Forecast group, click Forecast Sheet. In the Create Forecast Worksheet box, pick either a line chart or a column chart for the visual representation of the forecast. Pick an end date, and then click Create. This will create a new worksheet with your forecast and a chart. You can also use the FORECAST function.
It is the same as trebles. Start with how many selections there are and then times by the next number in the sequence and times that by the next number. Then divide that number by 1x2x3. For example 5 selections 5x4x3 =120 / 1x2x3 =6 = 20 trebles in 5 selections. But because it is a reverse forcadt you need to then times that by 2
Divide the total sales by the total sales forecast
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How to reverse provision stock
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The answer depends on what the forecast was about and how you interpret accurate. Consider weather forecasts. If the weather forecast was "sunny", how much cloud cover is acceptable before the forecast is considered wrong? If the forecast was "dry" would a 5 second drizzle mean a total *FAIL*? Does "rainy" range from a fleeting drizzle to a tropical downpour? Also, if the forecast for a region was sunny, and it was sunny in 95% of the region, but in 5% of the region it was not sunny for 5 minutes, does that count as a failure? It is critically important that all forecast terms are unambiguous and that all thresholds are very clearly defined. Similar considerations will apply in forecasts of other unknowns.