Model Summary

Model

R

R Square

Adjusted R Square

Std. Error of the Estimate

1

.791a

.626

.609

5626.346272

ANOVAb

Model

Sum of Squares

df

Mean Square

F

Sig.

1

Regression

6.036E9

5

1.207E9

38.135

.000a

Residual

3.609E9

114

3.166E7

Total

9.645E9

119

Coefficientsa

Model

Unstandardized Coefficients

Standardized Coefficients

t

Sig.

B

Std. Error

Beta

1

(Constant)

-503.621

1544.951

-.326

.745

X1

4.231

.541

1.338

7.817

.000

X2

-17145.183

2088.358

-1.368

-8.210

.000

X3

4.563

1.510

.236

3.023

.003

X4

.842

.337

.213

2.501

.014

X5

2312.212

993.642

.140

2.327

.022

报告结果如上：
请问各位大侠，我采用了强制多元回归分析方法，各个自变量均显著，而且R平方虽不是很高，但也有60%以上。为什么估计值误差那么大啊？有无什么问题？是什么原因导致的呢？