Difference between revisions of "Manuals/calci/INTERCEPT"

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==Examples==
 
==Examples==
 +
DATA1        DATA2
 +
  4                  12
 +
  5                  20
 +
  2                  15
 +
10                    11
 +
 +
INTERCEPT(B5:B8,C5:C8)=10.13265306
 +
 +
DATA1          DATA2
 +
    25                10
 +
    -12                15 
 +
      -9              -40
 +
    30                52
 +
    18                36
 +
 +
INTERCEPT(A2:A6,B2:B6)=4.754939085
 +
 +
 +
{| class="wikitable"
 +
|+Spreadsheet
 +
|-
 +
! !! A !! B !! C !! D!! E
 +
|-
 +
! 1
 +
| 4 || 5 || 2 ||10 ||
 +
|-
 +
! 2
 +
| 12 || 20 || 15 || 11 ||
 +
|-
 +
! 3
 +
| 25  || -12  || -9  ||30 ||18
 +
|-
 +
! 4
 +
| 10 ||15  || -40  ||52 ||36||
 +
|-
 +
! 5
 +
|  ||  ||  || ||
 +
|}

Revision as of 03:38, 31 December 2013

INTERCEPT(y,x)


  • is the set of dependent data
  • is the set of independent data.

Description

  • This function is calculating the point where the line is intersecting y-axis using dependent and independent variables.
  • Using this function we can find the value of when is zero.
  • The intercept point is finding using simple linear regression.
  • It is fits a straight line through the set of points in such a way that makes vertical distances between the points of the data set and the fitted line as small as possible.
  • Regression methods nearly to the simple ordinary least squares also exist.
  • i.e.,The Least Squares method relies on taking partial derivatives with respect to the slope and intercept which provides a solvable pair of equations called normal equations.
  • Suppose there are data points , where
  • To find the equation of the regression line:.
  • This equation will give a "best" fit for the data points.
  • The "best" means least-squares method. Here b is the slope.
  • The slope is calculated by:.
  • In this formula and are the sample means AVERAGE of and .
  • In , the arguments can be numbers, names, arrays, or references that contain numbers.
  • The arrays values are disregarded when it is contains text, logical values or empty cells.
  • This function will return the result as error when any one of the argument is non-numeric or and is having different number of data points and there is no data.

Examples

DATA1 DATA2

  4                   12
  5                   20
  2                   15

10 11

INTERCEPT(B5:B8,C5:C8)=10.13265306

DATA1 DATA2

    25                 10
   -12                 15   
     -9               -40
    30                 52 
    18                 36

INTERCEPT(A2:A6,B2:B6)=4.754939085


Spreadsheet
A B C D E
1 4 5 2 10
2 12 20 15 11
3 25 -12 -9 30 18
4 10 15 -40 52 36
5