如需Microsoft Excel 如何符合資料行的詳細資訊,請參閱 LinEst。 使用Trend for polynomial curve fitting by regressing against the same variable raised to different powers. 例如,假設 A 欄包含 y 值,B 欄包含 x 值。 您可以在 C 欄中輸入 x^2,在 D 欄中輸入 x^3 等等,然後對 A 欄進行 B 欄到 ...
Firstly I am far from an expert in data analysis or the understanding of quadratic equations, but I successfully use Linest for a single polynomial regression curve to generate the values to be used in an Excel VBA formula. Where I am completely stumped is whether this method can be used to...
当需要做一元多次回归分析时,可以将X的各次幂视作单独的自变量,例如当需求对集合Y作关于集合X的三次回归分析,得到y关于x的三次多项式y=m3X^3+m2x^2+m1x+b,便可以分别对集合X进行三次方、二次方,得出三个集合X^3、X^2、X并带入公式Linest,便可返回一个数组[m3, m2, m1, b]。 使用公式: =Linest(Kn...
如果需要OLS最佳拟合系数（即线性回归）而不是插值，则可以对二阶多项式执行以下操作：
如果需要OLS最佳拟合系数（即线性回归）而不是插值，则可以对二阶多项式执行以下操作：
本文通过实例详细介绍了利用Microsoft Excel内部函数LINEST对多项式及多元回归分析的方法,该方法具有快速、简单、准确的特点。 关键词: 多元回归;多项式回归;Microsoft Excel;LINEST函数 DOI: 10.3969/j.issn.1673-8403.2007.08.020 被引量: 35 年份: 2007 ...
For information about how Microsoft Excel fits a line to data, see LINEST. You can use TREND for polynomial curve fitting by regressing against the same variable raised to different powers. For example, suppose column A contains y-values and column B contains x-values. You can enter x^2 ...
b1:=INDEX(LINEST(y, x^{1,2,3}), 1, 3) a:=INDEX(LINEST(y, x^{1,2,3}), 1, 4) The formulas for higher degree polynomial trendlines can be built by using the same pattern. For our data set, the 2ndorder polynomial trendline suites better, so we are using these formulas: ...
datalinestpolynomialreturningtrend Replies: 3 Forum:Excel Questions C LINEST Array for a specific sub segment Hi guys, I am using LINEST Array to calculate price elasticity and its related coefficients. For a multi-product portfolio. Y values: Monthly Price elasticity for each SKU X Values: Coef...
The most commonly used function for linear interpolation is the FORECAST function. For non-linear interpolation, Excel does not have a built-in function, but you can use other functions like TREND, GROWTH, or LINEST to perform various types of curve fitting and extrapolation. 2. What are the...