Difference between revisions of "Manuals/calci/TREND"

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==Examples==
 
==Examples==
 +
 +
{| class="wikitable"
 +
|+Spreadsheet
 +
|-
 +
! !! DAYS(x) !! SALES(y) !! x1
 +
|-
 +
! 1
 +
| 1 || 40 || 10
 +
|-
 +
! 2
 +
| 2 || 35 || 11
 +
|-
 +
! 3
 +
| 3  || 42  || 12
 +
|-
 +
! 4
 +
| 4 ||50  || 13
 +
|-
 +
! 5
 +
| 5 || 54 || 14 
 +
! 6
 +
| 6 || 49 || 
 +
|-
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! 7
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| 7  || 51  || 
 +
|-
 +
! 8
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| 8 || 58  || 
 +
|-
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! 9
 +
| 9 || 60 || 
 +
|}
 
DAYS(x)      SALES(y)        x1
 
DAYS(x)      SALES(y)        x1
 
1                40          10
 
1                40          10
Line 32: Line 64:
 
62.611111111111114,etc
 
62.611111111111114,etc
 
TREND(B1:B9,A1:A9,C1:C5,FALSE) =  
 
TREND(B1:B9,A1:A9,C1:C5,FALSE) =  
=  82.84210546,etc  
+
=  82.84210546,etc
  
 
==See Also==
 
==See Also==

Revision as of 23:28, 17 February 2014

TREND(y,x,x1,c)


  • is the set of y values.
  • is the set of x values.
  • is the new x value.
  • is the constant value.

Description

  • This function calculating the trend line using the given set of and values.
  • Trend line is the straight line which joins two or more points in the upward direction.
  • It is calculating using the equation ,which is the simple equation for the straight line.
  • In this equation is the independent variable, is the dependent variable, is the slope of the line and is the constant which is equal to when .
  • In , is the set of y-values to find the linear trend, is the set of x- values to find the linear trend, is the set of new x-values for which the function calculates corresponding new y-values and is the constant.
  • It is either TRUE or FALSE. If c value is TRUE or omitted, then it is calculated normally.
  • If value is FALSE, then , and . Here is required. , and are optional.
  • If value is omitted, then it is assumed to be the array{1,2,3..} which is the same size of . If value is omitted, then it is assumed to be the same size of .
  • If both and are omitted, then they are assumed to be the array {1,2,3..} which is the same size of y.
  • function is used for polynomial curve fitting by regressing against the same variable raised to different powers.
  • When entering an array constant for an argument such as , use commas to separate values in the same row and semicolons to separate rows.

Examples

Spreadsheet
DAYS(x) SALES(y) x1
1 1 40 10
2 2 35 11
3 3 42 12
4 4 50 13
5 5 54 14 6 6 49
7 7 51
8 8 58
9 9 60

DAYS(x) SALES(y) x1 1 40 10 2 35 11 3 42 12 4 50 13 5 54 14 6 49 7 51 8 58 9 60 TREND(B1:B9,A1:A9,C1:C5) = 62.611111111111114,etc TREND(B1:B9,A1:A9,C1:C5,FALSE) = = 82.84210546,etc

See Also

References