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...
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 ...
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...
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 ...
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。
This function is not available in Excel for the web. INT Math and trigonometry: Rounds a number down to the nearest integer INTERCEPT Statistical: Returns the intercept of the linear regression line INTRATE Financial: Returns the interest rate for a fully invested security IPMT Financial: Re...
Returns population covariance, the average of the products of deviations for each data point pair. C# Copy public double Covariance_P (object Arg1, object Arg2); Parameters Arg1 Object The first cell range of integers. Arg2 Object The second cell range of integers. Returns Double Remarks...
Parameters Arg1 Double The value you want to round. Arg2 Object The multiple to which you want to round. Arg3 Object When given a nonzero number, this function will round towards zero. Returns Double DOUBLE Applies to 產品版本 Excel primary interop assembly Latest 意見...
The y-intercept of 1.5 means that when the x-value is 0, the corresponding y-value is estimated to be 1.5. Step 4:Visualize the Regression Line You can visualize the regression line on a scatter plot with the data points. The slope and y-intercept obtained from the LINEST function will...