SLOPE 请参阅返回根据 known_y's 和 known_x's 中的数据点拟合的线性回归直线的斜率。斜率为直线上...
SLOPE 请参阅返回根据 known_y's 和 known_x's 中的数据点拟合的线性回归直线的斜率。斜率为直线上任意两点的重直距离与水平距离的比值，也就是回归直线的变化率。语法 SLOPE(known_y's,known_x's) Known_y's 为数字型因变量数据点数组或单元格区域。 Known_x's 为自变量数据点集合。说明参数...
=SLOPE(C2:C13,B2:B13) =INDEX(LINEST(C2:C13,B2:B13),1) LINEST (C2:C13,B2:B13) 返回值为 1 行 2 列的数组 b)通过函数获取回归方程截距 =INTERCEPT(C2:C13,B2:B13) =INDEX(LINEST(C2:C13,B2:B13),2) 函数对比: (2)2. 多元线性回归: \bf{y = a + b_1x_1 + b_2x_2 + … + ...
Excel 2003 and later versions of Excel improve the behavior of INTERCEPT. INTERCEPT(known_y's, known_x's) is the result of evaluating AVERAGE(known_y's)– SLOPE(known_y's, known_x's) * AVERAGE(known_x's). While the code for INTERCEPT has not been directly changed for Excel 2003 ...
我在用回归分析工具计算两组数线性回归方程时 发现此方法计算结果与 Slope intercept函数计算的参数结果不同,请问大神这两种方法都应用的什么算法?为什么会不一样? 发布于 2019-01-16 09:30 Excel 使用 Excel 公式 数学 赞同11 条评论 分享喜欢收藏申请转载 ...
where the slope, b, is calculated as: and where x and y are the sample means AVERAGE(known_x's) and AVERAGE(known_y's). The underlying algorithm used in theInterceptandSlopefunctions is different than the underlying algorithm used in theLinEstfunction. The difference between these algorithms...
GAMMALN Returns the natural logarithm of the gamma function, Γ(x) GEOMEAN Returns the geometric mean GROWTH Returns values along an exponential trend HARMEAN Returns the harmonic mean HYPGEOMDIST Returns the hypergeometric distribution INTERCEPT Returns the intercept of the linear regression line ...
百度试题 题目使用Excel进行回归分析时需要的函数包括( )。 A.Intercept()B.Slope()C.RSQ()D.Linest()相关知识点: 试题来源: 解析反馈 收藏
The underlying algorithm used in the Intercept and Slope(Object, Object) functions is different than the underlying algorithm used in the LinEst(Object, Object, Object, Object) function. The difference between these algorithms can lead to different results when data is undetermined and collinear. Fo...
格式:=intercept(已知y值集合,已知x值集合) 已知Y值集合:因变量数据点 已知x值集合:自变量据点 157.IPMT:基于固定利率及等额分期付款方式,返回给定期数内对投资 的利息偿还额。 格式:=ipmt(利率,期数,支付总期数,现值,终值) 158.IRR:返回由数值代表的一组现金流的内部收益率。