LibreOffice Help – 7.6/text/schart/01 — Khmer (Central) @ TDF Weblate

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Context 04050100.xhp par_id7951902 help.text

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Context	English	Khmer (Central)
04050100.xhp par_id180820161612524298 help.text	<emph>Polynomial</emph> trend line: regression through equation <item type="literal">y=Σ</item><sub><item type="literal">i</item></sub><item type="literal">(a</item><sub><item type="literal">i</item></sub><item type="literal">∙x</item><sup><item type="literal">i</item></sup><item type="literal">)</item>. Intercept <item type="literal">a</item><sub><item type="literal">0</item></sub> can be forced. Degree of polynomial must be given (at least 2).
04050100.xhp par_id180820161612525364 help.text	<emph>Logarithmic</emph> trend line: regression through equation <item type="literal">y=a∙ln(x)+b</item>.
04050100.xhp par_id180820161612526680 help.text	<emph>Exponential</emph> trend line: regression through equation <item type="literal">y=b∙exp(a∙x)</item>.This equation is equivalent to <item type="literal">y=b∙m</item><sup><item type="literal">x</item></sup> with <item type="literal">m=exp(a)</item>. Intercept <item type="literal">b</item> can be forced.
04050100.xhp par_id180820161612527230 help.text	<emph>Power</emph> trend line: regression through equation <item type="literal">y=b∙x</item><sup><item type="literal">a</item></sup>.
04050100.xhp par_id180820161617342768 help.text	<emph>Moving average</emph> trend line: simple moving average is calculated with the <emph>n</emph> previous y-values, <emph>n</emph> being the period. No equation is available for this trend line.
04050100.xhp hd_id9204077 help.text	Constraints	ការកម្រិត
04050100.xhp par_id7393719 help.text	The calculation of the trend line considers only data pairs with the following values:	ការគណនាបន្ទាត់តំរែតំរង់ពិចារណាតែគូរទិន្នន័យដែលមានតម្លៃដូចខាងក្រោម ៖
04050100.xhp par_id7212744 help.text	Logarithmic trend line: only positive x-values are considered.
04050100.xhp par_id1664479 help.text	Exponential trend line: only positive y-values are considered, except if all y-values are negative: regression will then follow equation <item type="literal">y=-b∙exp(a∙x)</item>.
04050100.xhp par_id8734702 help.text	Power trend line: only positive x-values are considered; only positive y-values are considered, except if all y-values are negative: regression will then follow equation<item type="literal"> y=-b∙x</item><sup><item type="literal">a</item></sup>.
04050100.xhp par_id181279 help.text	You should transform your data accordingly; it is best to work on a copy of the original data and transform the copied data.	អ្នកគួរតែប្លែងទិន្នន័យរបស់អ្នកឲ្យស្របតាមគ្នា ។ វាល្អបំផុតដែលដំណើរការលើច្បាប់ចម្លងទិន្នន័យដើម ហើយប្លែងទិន្នន័យដែលបានចម្លង ។
04050100.xhp hd_id180820161528021520 help.text	Calculate Parameters in Calc
04050100.xhp par_id7735221 help.text	You can also calculate the parameters using Calc functions as follows.	អ្នកក៏អាចគណនាប៉ារ៉ាម៉ែត្រដោយប្រើអនុគមន៍ Calc ដូចខាងក្រោម ។
04050100.xhp hd_id5744193 help.text	The linear regression equation	សមីការតំរែតំរង់លីនេអ៊ែរ
04050100.xhp par_id9251991 help.text	The <emph>linear regression</emph> follows the equation <item type="literal">y=m*x+b</item>.	<emph>តំរែតំរង់លីនេអ៊ែរ</emph> ធ្វើតាមសមីការ <item type="literal">y=m*x+b</item> ។
04050100.xhp par_id7951902 help.text	m = SLOPE(Data_Y;Data_X)	m = SLOPE(Data_Y;Data_X)
04050100.xhp par_id6637165 help.text	b = INTERCEPT(Data_Y ;Data_X)	b = INTERCEPT(Data_Y ;Data_X)
04050100.xhp par_id7879268 help.text	Calculate the coefficient of determination by	គណនាមេគុណដេទែរមីណង់តាម
04050100.xhp par_id9244361 help.text	r<sup>2</sup> = RSQ(Data_Y;Data_X)
04050100.xhp par_id2083498 help.text	Besides m, b and r<sup>2</sup> the array function <emph>LINEST</emph> provides additional statistics for a regression analysis.
04050100.xhp hd_id2538834 help.text	The logarithmic regression equation
04050100.xhp par_id394299 help.text	The <emph>logarithmic regression</emph> follows the equation <item type="literal">y=a*ln(x)+b</item>.
04050100.xhp par_id2134159 help.text	a = SLOPE(Data_Y;LN(Data_X))	a = SLOPE(Data_Y;LN(Data_X))
04050100.xhp par_id5946531 help.text	b = INTERCEPT(Data_Y ;LN(Data_X))	b = INTERCEPT(Data_Y ;LN(Data_X))
04050100.xhp par_id5649281 help.text	r<sup>2</sup> = RSQ(Data_Y;LN(Data_X))
04050100.xhp hd_id7874080 help.text	The exponential regression equation	សមីការតំរែតំរង់អិចស្បូណង់ស្យែល
04050100.xhp par_id4679097 help.text	For exponential trend lines a transformation to a linear model takes place. The optimal curve fitting is related to the linear model and the results are interpreted accordingly.	ចំពោះខ្សែកោងតំរែតម្រង់អិចស្ប៉ូណង់ស្យែល ការប្លែងទៅជាម៉ូដែលលីនេអ៊ែរ កើតមានឡើង ។ ការសមនឹងខ្សែកោងបំផុត គឺទាក់ទងនឹងម៉ូដែលលីនេអ៊ែរ ហើយលទ្ធផលគឺត្រូវបានបកប្រែឲ្យស្របតាមគ្នា ។
04050100.xhp par_id9112216 help.text	The exponential regression follows the equation <item type="literal">y=bexp(ax)</item> or <item type="literal">y=bm</item><sup><item type="literal">x</item></sup>, which is transformed to <item type="literal">ln(y)=ln(b)+ax</item> or <item type="literal">ln(y)=ln(b)+ln(m)*x</item> respectively.
04050100.xhp par_id4416638 help.text	a = SLOPE(LN(Data_Y);Data_X)	a = SLOPE(LN(Data_Y);Data_X)
04050100.xhp par_id1039155 help.text	The variables for the second variation are calculated as follows:	អថេរសម្រាប់វ៉ារ្យ៉ងទីពីរ គឺត្រូវបានគណនាដូចខាងក្រោម ៖
04050100.xhp par_id7184057 help.text	m = EXP(SLOPE(LN(Data_Y);Data_X))	m = EXP(SLOPE(LN(Data_Y);Data_X))

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04050100.xhp
par_id7951902
help.text

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sJhZJ

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04050100.xhp

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km/helpcontent2/source/text/schart/01.po, string 208