# extracted from helpcontent2/source/text/schart/01.oo
msgid ""
msgstr ""
"Project-Id-Version: PACKAGE VERSION\n"
"Report-Msgid-Bugs-To: http://qa.openoffice.org/issues/enter_bug.cgi?subcomponent=ui&comment=&short_desc=Localization%20issue%20in%20file%3A%20helpcontent2/source/text/schart/01.oo&component=l10n&form_name=enter_issue\n"
"POT-Creation-Date: 2007-10-01 10:59+1000\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: LANGUAGE <LL@li.org>\n"
"MIME-Version: 1.0\n"
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"Plural-Forms: nplurals=INTEGER; plural=EXPRESSION;\n"
"X-Generator: Translate Toolkit 1.0.1\n"
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#: 04050100.xhp#bm_id1744743.help.text
msgid ""
"\\<bookmark_value\\>calculating;regression "
"curves\\</bookmark_value\\>\\<bookmark_value\\>regression curves in "
"charts\\</bookmark_value\\>\\<bookmark_value\\>trend lines in "
"charts\\</bookmark_value\\>"
msgstr "\\<bookmark_value\\>計算;回帰曲線\\</bookmark_value\\>\\<bookmark_value\\>グラフにおける回帰曲線\\</bookmark_value\\>\\<bookmark_value\\>グラフにおける傾向直線\\</bookmark_value\\>"

#: 04050100.xhp#hd_id2538834.help.text
msgid "The logarithm regression equation"
msgstr "対数回帰式"

#: 04050100.xhp#hd_id5409405.help.text
msgid ""
"\\<variable id=\\\"regression\\\"\\>\\<link "
"href=\\\"text/schart/01/04050100.xhp\\\"\\>Regression "
"Curves\\</link\\>\\</variable\\>"
msgstr "\\<variable id=\\\"regression\\\"\\>\\<link href=\\\"text/schart/01/04050100.xhp\\\"\\>回帰曲線\\</link\\>\\</variable\\>"

#: 04050100.xhp#hd_id5744193.help.text
msgid "The linear regression equation"
msgstr "直線回帰式"

#: 04050100.xhp#hd_id6349375.help.text
msgid "The power regression equation"
msgstr "累冪回帰式"

#: 04050100.xhp#hd_id7874080.help.text
msgid "The exponential regression equation"
msgstr "対数回帰式"

#: 04050100.xhp#hd_id7907040.help.text
msgid "The polynomial regression equation"
msgstr "多項回帰式"

#: 04050100.xhp#hd_id9204077.help.text
msgid "Constraints"
msgstr "制約"

#: 04050100.xhp#par_id1039155.help.text
msgid "or"
msgstr "もしくは"

#: 04050100.xhp#par_id1328470.help.text
msgid ""
"For a category chart (for example a line chart), the regression information "
"is calculated using numbers 1, 2, 3, … as x-values. This is also true if "
"your data series uses other numbers as names for the x-values. For such "
"charts the XY chart type might be more suitable."
msgstr "カテゴリーデータを用いたグラフ（直線グラフなど）の場合、xの値として、1, 2, 3…という整数順の数字を使って回帰式の計算を行います。無意味な数字を名目的にxの値に使っている場合も同様な計算が行われます。このようなグラフの場合、XYグラフを用いるのが最も適しています。"

#: 04050100.xhp#par_id1664479.help.text
msgid "exponential regression: only positive y-values are considered,"
msgstr "対数回帰：yの値は正の値のみをとります。"

#: 04050100.xhp#par_id181279.help.text
msgid ""
"You should transform your data accordingly; it is best to work on a copy of "
"the original data and transform the copied data."
msgstr "このようにして、データを変換します。元のデータはそのまま残しておき、コピーしたデータを使って作業することをお薦めします。"

#: 04050100.xhp#par_id1857661.help.text
msgid ""
" For \\<emph\\>power regression\\</emph\\> curves a transformation to a linear "
"model takes place. The power regression follows the equation \\<item "
"type=\\\"literal\\\"\\>y=b*x^a\\</item\\> , which is transformed to \\<item "
"type=\\\"literal\\\"\\>ln(y)=ln(b)+a*ln(x)\\</item\\>."
msgstr " \<emph\\>累冪回帰\\</emph\\> 曲線は直線モデルへ変換されます。。塁冪回帰は、 式 \\<item type=\\\"literal\\\"\\>ln(y)=ln(b)+a*ln(x)\\</item\\>（式\\<item type=\\\"literal\\\"\\>y=b*x^a\\</item\\>が対数変換された式）に従ったものになります。"

#: 04050100.xhp#par_id2083498.help.text
msgid ""
"Besides m, b and r² the array function \\<emph\\>LINEST\\</emph\\> provides "
"additional statistics for a regression analysis."
msgstr "回帰分析において、配列関数 \\<emph\\>LINEST\\</emph\\> を用いることによって、mとbとr²だけでなく追加の統計計算を行うことも可能です。"

#: 04050100.xhp#par_id2134159.help.text
msgid "a = SLOPE(Data_Y;LN(Data_X)) "
msgstr "a = SLOPE(Data_Y;LN(Data_X)) "

#: 04050100.xhp#par_id2357249.help.text
msgid "r² = RSQ(LN(Data_Y);LN(Data_X)) "
msgstr "r² = RSQ(LN(Data_Y);LN(Data_X)) "

#: 04050100.xhp#par_id296334.help.text
msgid "A regression curve is shown in the legend automatically."
msgstr "回帰曲線は凡例に自動的に表示されます。"

#: 04050100.xhp#par_id33875.help.text
msgid ""
"Create a table with the columns x, x², x³, … , xⁿ, y up to the desired "
"degree n. "
msgstr "x, x², x³, … , xⁿ, y という列のテーブルを作ってください。nは任意の数字で構いません。 "

#: 04050100.xhp#par_id394299.help.text
msgid ""
"The \\<emph\\>logarithm regression\\</emph\\> follows the equation \\<item "
"type=\\\"literal\\\"\\>y=a*ln(x)+b\\</item\\>."
msgstr "\\<emph\\>対数回帰\\</emph\\> は、式 \\<item type=\\\"literal\\\"\\>y=a*ln(x)+b\\</item\\>に従ったものになります。"

#: 04050100.xhp#par_id4349192.help.text
msgid ""
"To insert a regression curve for a single data series, select the data "
"series in the chart and choose \\<item type=\\\"menuitem\\\"\\>Format - Object "
"Properties - Statistics\\</item\\>."
msgstr "ある特定のデータ系列に回帰曲線を加えるには、グラフの中から対象のデータ系列を選択し、 \\<item type=\\\"menuitem\\\"\\>フォーマット - オブジェクト・プロパティ - 統計量\\</item\\> を選んでください。"

#: 04050100.xhp#par_id4416638.help.text
msgid "a = SLOPE(LN(Data_Y);Data_X) "
msgstr "a = SLOPE(LN(Data_Y);Data_X) "

#: 04050100.xhp#par_id4562211.help.text
msgid ""
"\\<link href=\\\"text/schart/01/04050000.xhp\\\"\\>Statistics tab page\\</link\\>"
msgstr "\\<link href=\\\"text/schart/01/04050000.xhp\\\"\\>統計タブのページへ\\</link\\>"

#: 04050100.xhp#par_id4679097.help.text
msgid ""
" For exponential regression curves a transformation to a linear model takes "
"place. The optimal curve fitting is related to the linear model and the "
"results are interpreted accordingly. "
msgstr " 指数回帰曲線は直線モデルへ変換されます。曲線適合法は線形モデルと関係しているため、その結果も線形モデルに従って解釈されます。 "

#: 04050100.xhp#par_id5068514.help.text
msgid ""
"The first row of the LINEST output contains the coefficients of the "
"regression polynomial, with the coefficient of xⁿ at the leftmost position."
msgstr "LINESTの結果の第1行は、多項回帰式の係数で一番左がxⁿの係数です。"

#: 04050100.xhp#par_id5437177.help.text
msgid "r² = RSQ(LN(Data_Y);Data_X) "
msgstr "r² = RSQ(LN(Data_Y);Data_X) "

#: 04050100.xhp#par_id5649281.help.text
msgid "r² = RSQ(Data_Y;LN(Data_X)) "
msgstr "r² = RSQ(Data_Y;LN(Data_X)) "

#: 04050100.xhp#par_id5676747.help.text
msgid ""
"To insert regression curves for all data series double-click the chart to "
"enter edit mode. Choose \\<item type=\\\"menuitem\\\"\\>Insert - "
"Statistic\\</item\\>, then select the type of regression curve from No, "
"Linear, Logarithm, Exponential, or Power regression."
msgstr "すべてのデータの回帰曲線を挿入するためには、グラフをダブルクリックして、編集モードにしてください。\\<item type=\\\"menuitem\\\"\\>「挿入」 - 「統計」\\</item\\>を選び、次に、「いいえ」「直線」「対数」「指数」「累冪（両対数）」から回帰曲線のタイプを選択してください。"

#: 04050100.xhp#par_id5946531.help.text
msgid "b = INTERCEPT(Data_Y ;LN(Data_X)) "
msgstr "b = INTERCEPT(Data_Y ;LN(Data_X)) "

#: 04050100.xhp#par_id6637165.help.text
msgid "b = INTERCEPT(Data_Y ;Data_X) "
msgstr "b = INTERCEPT(Data_Y ;Data_X) "

#: 04050100.xhp#par_id6946317.help.text
msgid ""
"Besides m, b and r² the array function LOGEST provides additional statistics "
"for a regression analysis."
msgstr "回帰分析において、配列関数LOGESTを用いることでmとbとr²だけでなく他のの統計計算を行うことも可能です。"

#: 04050100.xhp#par_id7127292.help.text
#: 04050100.xhp#par_id7879268.help.text
msgid "Calculate the coefficient of determination by"
msgstr "決定係数を____によって計算してください。"

#: 04050100.xhp#par_id7184057.help.text
msgid "m = EXP(SLOPE(LN(Data_Y);Data_X)) "
msgstr "m = EXP(SLOPE(LN(Data_Y);Data_X)) "

#: 04050100.xhp#par_id7212744.help.text
msgid "logarithm regression: only positive x-values are considered,"
msgstr "対数回帰：xの値は正の値のみをとります。"

#: 04050100.xhp#par_id7272255.help.text
msgid ""
"Regression curves can be added to all chart types except for Pie and Stock "
"charts."
msgstr "回帰曲線は、パイグラフと株価グラフ以外のすべてのグラフに追加することができます。"

#: 04050100.xhp#par_id7393719.help.text
msgid ""
" The calculation of the regression curve considers only data pairs with the "
"following values:"
msgstr " 回帰曲線の計算には、次の値を持つデータだけが考慮されます。"

#: 04050100.xhp#par_id7735221.help.text
msgid ""
"%PRODUCTNAME doesn't show parameters of the regression curve inside the "
"chart. You can calculate the parameters using Calc functions as follows."
msgstr "%PRODUCTNAME は、グラフ中の回帰曲線のパラメータを示していません。次のようなCalcの関数を用いてパラメータを計算することができます。"

#: 04050100.xhp#par_id786767.help.text
msgid "b = EXP(INTERCEPT(LN(Data_Y);Data_X)) "
msgstr "b = EXP(INTERCEPT(LN(Data_Y);Data_X)) "

#: 04050100.xhp#par_id7951902.help.text
msgid "m = SLOPE(Data_Y;Data_X) "
msgstr "m = SLOPE(Data_Y;Data_X) "

#: 04050100.xhp#par_id8202154.help.text
msgid ""
"The first element of the third row of the LINEST output is the value of r². "
"See the \\<link href=\\\"text/scalc/01/04060107.xhp#Section8\\\"\\>LINEST\\</link\\> "
"function for details on proper use and an explanation of the other output "
"parameters."
msgstr "LINEST の出力結果の第３列の最初の要素はr²です。LINEST 関数の使用例の詳細と、他の出力パラメータの説明は、\\<link href=\\\"text/scalc/01/04060107.xhp#Section8\\\"\\>こちら\\</link\\> を参照してください。"

#: 04050100.xhp#par_id8398998.help.text
msgid ""
"If you insert a regression curve to a chart type that uses categories, like "
"\\<emph\\>Line \\</emph\\>or \\<emph\\>Column, \\</emph\\>then the numbers 1, 2, 3, "
"\\<emph\\>…\\</emph\\> are used as x-values to calculate the regression curve."
msgstr "\\<emph\\>折れ線グラフ \\</emph\\>や\\<emph\\>縦棒グラフ\\</emph\\>のようにカテゴリーデータを用いたグラフに回帰曲線を書き込む場合は、回帰曲線を計算するために、x の値として 1, 2, 3, ...という数字がカテゴリーデータの代用として使われます。"

#: 04050100.xhp#par_id8517105.help.text
msgid "a = SLOPE(LN(Data_Y);LN(Data_X)) "
msgstr "a = SLOPE(LN(Data_Y);LN(Data_X)) "

#: 04050100.xhp#par_id8720053.help.text
msgid ""
"Use the formula \\<item type=\\\"literal\\\"\\>=LINEST(Data_Y,Data_X)\\</item\\> "
"with the complete range x to xⁿ (without headings) as Data_X. "
msgstr "Data_Xの値として、x から xⁿ までの全ての範囲のデータ（見出しは含まれません）を対象にして、公式\\<item type=\\\"literal\\\"\\>=LINEST(Data_Y,Data_X)\\</item\\>を使って計算します。 "

#: 04050100.xhp#par_id8734702.help.text
msgid ""
"power regression: only positive x-values and positive y-values are "
"considered."
msgstr "塁冪回帰：xとyの値はともに正の値のみをとります。"