[translate] a结果表明用气候学经验公式方法建立的回归方程拟合效果良好,具有一定的代表性 The result indicated is good with the climatology empirical formula method establishment regression equation fitting effect, has certain representation[translate]
1) Formula regression 公式回归 2) regression equation 回归公式 1. According to the testing results the regression equations of the tensile strength, the prismatical compressive strength and elastic modulus of concrete as a function of compressive strength and dry density were obtained, and then ...
R2adjRadj2aims to estimateρ2ρ2, the proportion of variance explained in the population by the population regression equation. While this is clearly related to sample size and the number of predictors, what is the best estimator is less clear. Thus, you have simulation studies such as Yin ...
The aim of this study was to derive a regression equation (RE) to abolish the underestimation and to compare the performance of RE and FF in Bangladeshi population. RE was derived from 531 lipid profiles (equation derivation group) for the calculation of LDLC by multiple linear regression ...
The equations defining these relationshipsare: platelet count = 205.681 +7.041 x years of service and WBC count =7.64 + 0.078 x years of service.ALP concentration correlated negativelywith years of service [r= -0.144, (P< 0.0001)]. The regressionequation defining this relationship is: ALP ...
Linear Regression Equation is given below: Y=a+bX where X is the independent variable and it is plotted along the x-axis Y is the dependent variable and it is plotted along the y-axis Here, the slope of the line is b, and a is the intercept (the value of y when x = 0). ...
linear regression, in statistics, a process for determining a line that best represents the general trend of a data set. The simplest form of linear regression involves two variables: y being the dependent variable and x being the independent variable. The equation developed is of the form y ...
What is extrapolation? Understand how to extrapolate data and extrapolation in statistics with the help of the linear extrapolation formula and...
I do not know the regression model or number of parameters at compile-time. I'm storing the regression equation in a SQL Server 2005 database as the string y = 3x^2 + 2x // just an example When I need to make a prediction, I grab the equation from the database...
Referring to the MLR equation above, in our example: yi= dependent variable—the price of XOM xi1= interest rates xi2= oil price xi3= value of S&P 500 index xi4= price of oil futures B0= y-intercept at time zero B1=regression coefficientthat measures a unit change in the dependent va...