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spss回归之后,怎么根据表格给出的常数、b1、b2写出二次方程?
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spss回归之后,怎么根据表格给出的常数、b1、b2写出二次方程?
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如果你指的是SPSS的Curve Estimation,那么应该是:
Quadratic. Model whose equation is Y = b0 + (b1 * t) + (b2 * t**2). b0为截距项(常数项).
在SPSS中,6的4次方应该写成6**4的形式,其余类推(注意是2个星号).
其他模型的公式如下:
Linear. Model whose equation is Y = b0 + (b1 * t).
Logarithmic. Model whose equation is Y = b0 + (b1 * ln(t)).
Inverse. Model whose equation is Y = b0 + (b1 / t).
Quadratic. Model whose equation is Y = b0 + (b1 * t) + (b2 * t**2).
Cubic. Model defined by the equation Y = b0 + (b1 * t) + (b2 * t**2) + (b3 * t**3).
Power. Model whose equation is Y = b0 * (t**b1) or ln(Y) = ln(b0) + (b1 * ln(t)).
Compound. Model whose equation is Y = b0 * (b1**t) or ln(Y) = ln(b0) + (ln(b1) * t).
S-curve. Model whose equation is Y = e**(b0 + (b1/t)) or ln(Y) = b0 + (b1/t).
Logistic. Model whose equation is Y = 1 / (1/u + (b0 * (b1**t))) or ln(1/y-1/u)= ln (b0) + (ln(b1)*t) where u is the upper boundary value. After selecting Logistic, specify the upper boundary value to use in the regression equation. The value must be a positive number, greater than the largest dependent variable value.
Growth. Model whose equation is Y = e**(b0 + (b1 * t)) or ln(Y) = b0 + (b1 * t).
Exponential. Model whose equation is Y = b0 * (e**(b1 * t)) or ln(Y) = ln(b0) + (b1 * t).
按照以上公式,你可以还原你的方程.注意,将以上公式中的e写成exp的形式,也就是e的4次方应该写成exp(4)的形式.
Quadratic. Model whose equation is Y = b0 + (b1 * t) + (b2 * t**2). b0为截距项(常数项).
在SPSS中,6的4次方应该写成6**4的形式,其余类推(注意是2个星号).
其他模型的公式如下:
Linear. Model whose equation is Y = b0 + (b1 * t).
Logarithmic. Model whose equation is Y = b0 + (b1 * ln(t)).
Inverse. Model whose equation is Y = b0 + (b1 / t).
Quadratic. Model whose equation is Y = b0 + (b1 * t) + (b2 * t**2).
Cubic. Model defined by the equation Y = b0 + (b1 * t) + (b2 * t**2) + (b3 * t**3).
Power. Model whose equation is Y = b0 * (t**b1) or ln(Y) = ln(b0) + (b1 * ln(t)).
Compound. Model whose equation is Y = b0 * (b1**t) or ln(Y) = ln(b0) + (ln(b1) * t).
S-curve. Model whose equation is Y = e**(b0 + (b1/t)) or ln(Y) = b0 + (b1/t).
Logistic. Model whose equation is Y = 1 / (1/u + (b0 * (b1**t))) or ln(1/y-1/u)= ln (b0) + (ln(b1)*t) where u is the upper boundary value. After selecting Logistic, specify the upper boundary value to use in the regression equation. The value must be a positive number, greater than the largest dependent variable value.
Growth. Model whose equation is Y = e**(b0 + (b1 * t)) or ln(Y) = b0 + (b1 * t).
Exponential. Model whose equation is Y = b0 * (e**(b1 * t)) or ln(Y) = ln(b0) + (b1 * t).
按照以上公式,你可以还原你的方程.注意,将以上公式中的e写成exp的形式,也就是e的4次方应该写成exp(4)的形式.
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