Sarara adeemsa

Trend lines can be added to all 2D chart types except for Pie and Stock charts.

Ajaja kana bira gahuuf...

Choose Insert - Trend Line (Charts)


Sajoo Yaaddannoo

If you insert a trend line to a chart type that uses categories, like Line or Column, then the numbers 1, 2, 3, are used as x-values to calculate the trend line. For such charts the XY chart type might be more suitable.


Sajoo Yaaddannoo

A trend line is shown in the legend automatically. Its name can be defined in options of the trend line.


Sararan adeemsa walfaannee deetaa wajjiin halluu wal fakkataa qaba. Amala sarara jijjiiruuf, Sarara adeemsa fili itti fufuun fili Dhangii - Amala Wanta - Sarara.

Trend Line Equation and Coefficient of Determination

When the chart is in edit mode, LibreOffice gives you the equation of the trend line and the coefficient of determination R2, even if they are not shown: click on the trend line to see the information in the status bar.

To show the trend line equation, select the trend line in the chart, right-click to open the context menu, and choose Insert Trend Line Equation.

To change format of values (use less significant digits or scientific notation), select the equation in the chart, right-click to open the context menu, and choose Format Trend Line Equation - Numbers.

Default equation uses x for abscissa variable, and f(x) for ordinate variable. To change these names, select the trend line, choose Format - Format Selection – Type and enter names in X Variable Name and Y Variable Name edit boxes.

To show the coefficient of determination R2, select the equation in the chart, right-click to open the context menu, and choose Insert R2.

Sajoo Yaaddannoo

If intercept is forced, coefficient of determination R2 is not calculated in the same way as with free intercept. R2 values can not be compared with forced or free intercept.


Trend Lines Curve Types

The following regression types are available:

Gahuu dhabu'u

Herregiin sarara adeemsa kan inni qabbattu deetaa lammee fi gatii kan gadiiti:

Deetaa kee akkaata knan gadiiti muuxata;galragalcha deetaa issa durtii garii deetaa issa garagalchaa irrati muuxatau.

Calculate Parameters in Calc

Ulaagaa kana dalaga herregduu fayyadamuun akkataa kanan gadiiti herrguu dandeesa.

Sorooroo dadhabbii qixxaatoo

Kana Dadhabbii sorooroo qixxaatoo faana bu'ii y=m*x+b.

m = SLOOPII(Deetaa_Y;Deetaa_X)

b = INTEERCEPTII(Deetaa_Y ;Deetaa_X)

Hubbaanno fuldurre heereguuf kanan fayyadamii

r2 = RSQ(Data_Y;Data_X)

Besides m, b and r2 the array function LINEST provides additional statistics for a regression analysis.

The logarithmic regression equation

The logarithmic regression follows the equation y=a*ln(x)+b.

a = SLOOPII(Deetaa_Y;LN(Deetaa_X))

b = INTEERCEPTII(Deetaa_Y ;LN(Deetaa_X))

r2 = RSQ(Data_Y;LN(Data_X))

Sorooroo dadhabbii expoonentialii qixxaatoo

Qonyoo dadhabbii exponeenshaalii fi sorooroon ilaallata muuxatatu bakka bua'a. Qonyoon waltaasisi gaari sorooroo ilaallata wajiin wal fakkata ta'e bu'aan issa akkasumman hiikaama.

The exponential regression follows the equation y=b*exp(a*x) or y=b*mx, which is transformed to ln(y)=ln(b)+a*x or ln(y)=ln(b)+ln(m)*x respectively.

a = SLOOPEII(LN(Deetaa_Y);Deetaa_X)

Jijjiiramaan garra garrumma lammataa akkataa kana heeregama:

m = EXP(SLOOPEII(LN(Deetaa_Y);Deeta_X))

b = EXP(INTERCEEPTII(LN(Deetaa_Y);Deetaa_X))

Hubbaanno fuldurre heereguuf kanan fayyadamii

r2 = RSQ(LN(Data_Y);Data_X)

Besides m, b and r2 the array function LOGEST provides additional statistics for a regression analysis.

Humna dadhabii qixxaatoo

For power regression curves a transformation to a linear model takes place. The power regression follows the equation y=b*xa, which is transformed to ln(y)=ln(b)+a*ln(x).

a = SLOOPEII(LN(Deetaa_Y);LN(Deetaa_X))

b = EXP(INTERCEEPTII(LN(Deetaa_Y);LN(Deetaa_X))

r2 = RSQ(LN(Data_Y);LN(Data_X))

Sorooroo dadhabbiin polonoomialii qixxaatoo

For polynomial regression curves a transformation to a linear model takes place.

Create a table with the columns x, x2, x3, … , xn, y up to the desired degree n.

Use the formula =LINEST(Data_Y,Data_X) with the complete range x to xn (without headings) as Data_X.

The first row of the LINEST output contains the coefficients of the regression polynomial, with the coefficient of xn at the leftmost position.

The first element of the third row of the LINEST output is the value of r2. See the LINEST function for details on proper use and an explanation of the other output parameters.

X/Y Error Bars

LINEST function

LOGEST function

SLOPE function

INTERCEPT function

RSQ function

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