统计学 实习报告~~.doc

文档介绍：建立统计成绩和概率成绩的回归方程
Correlations
统计成绩
概率成绩
统计成绩
Pearson Correlation
1
.891**
Sig. (2-tailed)
.000
N
35
35
概率成绩
Pearson Correlation
.891**
1
Sig. (2-tailed)
.000
N
35
35
**. Correlation is significant at the level (2-tailed).
相关系数相关分析回归分析
Variables Entered/Removedb
Model
Variables Entered
Variables Removed
Method
1
统计成绩a
.
Enter
a. All requested variables entered.
b. Dependent Variable: 概率成绩
Model Summary
Model
R
R Square
Adjusted R Square
Std. Error of the Estimate
1
.891a
.793
.787

a. Predictors: (Constant), 统计成绩
ANOVAb
Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression

1


.000a
Residual

33

Total

34
a. Predictors: (Constant), 统计成绩
b. Dependent Variable: 概率成绩
Coefficientsa
Model
Unstandardized Coefficients
Standardized Coefficients
t
Sig.
B
Std. Error
Beta
1
(Constant)



.000
统计成绩
.691
.061
.891

.000
a. Dependent Variable: 概率成绩
One-Sample Statistics
N
Mean
Std. Deviation
Std. Error Mean
身高
35



检验能否认为学生的平均身高165cm
One-Sample Test
Test Value = 165
t
df
Sig. (2-tailed)
Mean Difference
95% Confidence Interval of the Difference
Lower
Upper
身高

34
.110

-.43

入学时的兴趣对统计成绩是否有影响
ANOVA
统计成绩
Sum of Squares
df
Mean Square
F
Sig.
Between Groups
992.