Difference between revisions of "Manuals/calci/FORECAST"
Jump to navigation
Jump to search
(18 intermediate revisions by 4 users not shown) | |||
Line 1: | Line 1: | ||
− | <div style="font-size:30px">'''FORECAST( | + | <div style="font-size:30px">'''FORECAST (x,KnownYs,KnownXs) '''</div><br/> |
− | *<math> | + | *<math>x</math> is the data point . |
− | *<math> | + | *<math>KnownYs</math> is the dependent array of data. |
− | *<math> | + | *<math>KnownXs</math> is the independent array of data. |
− | + | **FORECAST(), returns a value along a linear trend. | |
==Description== | ==Description== | ||
− | *This function gives the predicted value of the dependent variable for the specific value | + | *This function gives the predicted value of the dependent variable for the specific value <math>x</math>, of the independent variable by using a least squares linear regression to predict <math>y</math> values from <math>x</math> values. |
− | *In <math>FORECAST( | + | *In <math>FORECAST (x,KnownYs,KnownXs)</math>, <math>x</math> is the data point to predict a value. |
− | *The formula for <math>FORECAST</math> is <math> a+bx</math> | + | *<math>KnownYs</math> is the dependent array of data to predict the <math>y</math>-value and <math>KnownXs</math> is the independent array of data to predict the <math>y</math>-value. |
+ | *The formula for <math>FORECAST</math> is <math>a+bx</math> | ||
*where <math>a=\bar{y}-b \bar{x}</math> and <math> b=\frac{\sum (x-\bar{x})(y-\bar{y})}{\sum(x-\bar{x})^2}</math>. | *where <math>a=\bar{y}-b \bar{x}</math> and <math> b=\frac{\sum (x-\bar{x})(y-\bar{y})}{\sum(x-\bar{x})^2}</math>. | ||
− | *Here <math>\bar{x}</math> and <math>\bar{y}</math> are the sample means of x and y. | + | *Here <math>\bar{x}</math> and <math>\bar{y}</math> are the sample means of <math>x</math> and <math>y</math>. |
*This function will give the result as error when | *This function will give the result as error when | ||
− | 1. Any one of the value is | + | 1. Any one of the value is non-numeric. |
− | 2. The values of | + | 2. The values of <math>KnownXs</math> and <math>KnownYs</math> are empty or contain a different number of data points. |
− | 3. The variance of x is zero | + | 3. The variance of <math>x</math> is zero. |
− | |||
− | + | ==ZOS== | |
− | + | *The syntax is to calculate this function in ZOS is <math>FORECAST (x, KnownYs, KnownXs)</math> | |
+ | **<math>x</math> is the data points. | ||
+ | *For e.g.,FORECAST(30,[10,12,16,21,35],[9,14,23,39,76]) | ||
+ | *FORECAST(61,[22..28],[43..49]) | ||
− | + | ==Examples== | |
− | + | {| class="wikitable" | |
− | ---- | + | |+Spreadsheet |
− | + | |- | |
− | + | ! !! A !! B !! C !! D!! E !!F | |
− | + | |- | |
+ | ! 1 | ||
+ | | 5 || 30 || -28 ||-42 ||51 ||46 | ||
+ | |- | ||
+ | ! 2 | ||
+ | | 9 || 32 ||-18 || 34 || 14 || -1 | ||
+ | |- | ||
+ | ! 3 | ||
+ | | 11 || 15 ||35 ||-13|| 0 ||29 | ||
+ | |- | ||
+ | ! 4 | ||
+ | | 18 ||28 ||12 ||25 ||60 ||18 | ||
+ | |- | ||
+ | ! 5 | ||
+ | | 32 || 41 || 2 || 5|| 9 ||17 | ||
+ | |- | ||
+ | ! 6 | ||
+ | | 4 || 10 || 4 || 14 || 28 | ||
+ | |} | ||
+ | # =FORECAST(26,A1:A6,B1:B6) = 13.16666667 | ||
+ | # =FORECAST(18,C1:C4,D1:D4) = 2.119541779 | ||
+ | # =FORECAST(24,E1:E4,F1:F4) = 31.71054889 | ||
+ | # =FORECAST(10,C5:F5,C6:E6) = NAN. | ||
− | + | ==Related Videos== | |
− | |||
− | |||
− | + | {{#ev:youtube|ksCVXXh5_hk|280|center|FORECAST}} | |
− | + | ==See Also== | |
+ | *[[Manuals/calci/GROWTH| GROWTH]] | ||
+ | *[[Manuals/calci/LINEST | LINEST]] | ||
+ | *[[Manuals/calci/LOGEST| LOGEST ]] | ||
− | + | ==References== | |
+ | *[https://support.microsoft.com/en-us/kb/828236 FORECAST ] | ||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | |||
− | + | *[[Z_API_Functions | List of Main Z Functions]] | |
− | + | *[[ Z3 | Z3 home ]] | |
− |
Latest revision as of 16:07, 10 August 2018
FORECAST (x,KnownYs,KnownXs)
- is the data point .
- is the dependent array of data.
- is the independent array of data.
- FORECAST(), returns a value along a linear trend.
Description
- This function gives the predicted value of the dependent variable for the specific value , of the independent variable by using a least squares linear regression to predict values from values.
- In , is the data point to predict a value.
- is the dependent array of data to predict the -value and is the independent array of data to predict the -value.
- The formula for is
- where and .
- Here and are the sample means of and .
- This function will give the result as error when
1. Any one of the value is non-numeric. 2. The values of and are empty or contain a different number of data points. 3. The variance of is zero.
ZOS
- The syntax is to calculate this function in ZOS is
- is the data points.
- For e.g.,FORECAST(30,[10,12,16,21,35],[9,14,23,39,76])
- FORECAST(61,[22..28],[43..49])
Examples
A | B | C | D | E | F | |
---|---|---|---|---|---|---|
1 | 5 | 30 | -28 | -42 | 51 | 46 |
2 | 9 | 32 | -18 | 34 | 14 | -1 |
3 | 11 | 15 | 35 | -13 | 0 | 29 |
4 | 18 | 28 | 12 | 25 | 60 | 18 |
5 | 32 | 41 | 2 | 5 | 9 | 17 |
6 | 4 | 10 | 4 | 14 | 28 |
- =FORECAST(26,A1:A6,B1:B6) = 13.16666667
- =FORECAST(18,C1:C4,D1:D4) = 2.119541779
- =FORECAST(24,E1:E4,F1:F4) = 31.71054889
- =FORECAST(10,C5:F5,C6:E6) = NAN.
Related Videos
See Also
References