spss_output.html

Regression

NotesNotes, 表, 0 个级别的列标题和 2 个级别的行标题, 包含 3 列 15 行的表
Output Created		18-DEC-2025 10:12:59
Comments
Input	Data	E:\dev\statsagent\test\testcase6\.agent.outputs\engine\SPSS\data.zsav
	Filter	<none>
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	332
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing.
Missing Value Handling	Cases Used	Statistics are based on cases with no missing values for any variable used.
Syntax		REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS CI(95) R ANOVA COLLIN TOL /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT 员工创新行为 /METHOD=ENTER Q1 Q2 Q3 Q4 Q5 /RESIDUALS DURBIN.
Resources	Processor Time	00:00:00.02
	Elapsed Time	00:00:00.01
	Memory Required	7728 bytes
	Additional Memory Required for Residual Plots	18-DEC-2025 10:12:59

Variables Entered/Removed
Model	Variables Entered	Variables Removed	Method
1	企业性质, 性别, 年龄, 学历, 工作岗位^b	.	Enter
b. All requested variables entered.

Model Summary
Model	R	R Square	Adjusted R Square	Std. Error of the Estimate	Durbin-Watson
1	.196^a	.038	.024	.934	1.818
a. Predictors: (Constant), 企业性质, 性别, 年龄, 学历, 工作岗位

ANOVA
Model		Sum of Squares	df	Mean Square	F	Sig.
1	Regression	11.357	5	2.271	2.606	.025^b
	Residual	284.151	326	.872
	Total	295.508	331
b. Predictors: (Constant), 企业性质, 性别, 年龄, 学历, 工作岗位

Coefficients
Model		Unstandardized Coefficients		Standardized Coefficients	t	Sig.	95.0% Confidence Interval for B		Collinearity Statistics
Model		B	Std. Error	Beta	t	Sig.	Lower Bound	Upper Bound	Tolerance	VIF
1	(Constant)	3.781	.440		8.597	.000	2.916	4.646
	性别	-.001	.103	-.001	-.012	.990	-.204	.201	.992	1.008
	年龄	-.013	.043	-.018	-.315	.753	-.097	.070	.885	1.130
	学历	.100	.054	.123	1.866	.063	-.005	.206	.682	1.467
	工作岗位	-.111	.053	-.149	-2.103	.036	-.216	-.007	.584	1.711
	企业性质	-.191	.079	-.162	-2.430	.016	-.346	-.036	.664	1.506

Collinearity Diagnostics
Model	Dimension	Eigenvalue	Condition Index	Variance Proportions
Model	Dimension	Eigenvalue	Condition Index	(Constant)	性别	年龄	学历	工作岗位	企业性质
1	1	5.479	1.000	.00	.00	.00	.00	.00	.00
	2	.264	4.556	.00	.00	.07	.01	.30	.02
	3	.124	6.647	.00	.15	.75	.00	.05	.04
	4	.085	8.033	.01	.77	.12	.04	.06	.08
	5	.037	12.128	.00	.00	.05	.54	.02	.56
	6	.010	22.921	.99	.08	.00	.40	.57	.31

Residuals Statistics
	Minimum	Maximum	Mean	Std. Deviation	N
Predicted Value	2.71	3.83	3.39	.185	332
Residual	-2.590	1.677	.000	.927	332
Std. Predicted Value	-3.695	2.379	.000	1.000	332
Std. Residual	-2.774	1.796	.000	.992	332

Regression

NotesNotes, 表, 0 个级别的列标题和 2 个级别的行标题, 包含 3 列 15 行的表
Output Created		18-DEC-2025 10:12:59
Comments
Input	Data	E:\dev\statsagent\test\testcase6\.agent.outputs\engine\SPSS\data.zsav
	Filter	<none>
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	332
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing.
Missing Value Handling	Cases Used	Statistics are based on cases with no missing values for any variable used.
Syntax		REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS CI(95) R ANOVA COLLIN TOL /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT 员工创新行为 /METHOD=ENTER Q1 Q2 Q3 Q4 Q5 组织氛围 /RESIDUALS DURBIN.
Resources	Processor Time	00:00:00.03
	Elapsed Time	00:00:00.01
	Memory Required	8448 bytes
	Additional Memory Required for Residual Plots	18-DEC-2025 10:12:59

Variables Entered/Removed
Model	Variables Entered	Variables Removed	Method
1	组织氛围, 性别, 企业性质, 年龄, 学历, 工作岗位^b	.	Enter
b. All requested variables entered.

Model Summary
Model	R	R Square	Adjusted R Square	Std. Error of the Estimate	Durbin-Watson
1	.371^a	.137	.122	.886	1.845
a. Predictors: (Constant), 组织氛围, 性别, 企业性质, 年龄, 学历, 工作岗位

ANOVA
Model		Sum of Squares	df	Mean Square	F	Sig.
1	Regression	40.626	6	6.771	8.634	.000^b
	Residual	254.882	325	.784
	Total	295.508	331
b. Predictors: (Constant), 组织氛围, 性别, 企业性质, 年龄, 学历, 工作岗位

Coefficients
Model		Unstandardized Coefficients		Standardized Coefficients	t	Sig.	95.0% Confidence Interval for B		Collinearity Statistics
Model		B	Std. Error	Beta	t	Sig.	Lower Bound	Upper Bound	Tolerance	VIF
1	(Constant)	2.405	.474		5.073	.000	1.472	3.337
	性别	-.004	.098	-.002	-.044	.965	-.197	.188	.992	1.008
	年龄	-.022	.040	-.030	-.550	.582	-.102	.057	.884	1.131
	学历	.079	.051	.096	1.543	.124	-.022	.180	.678	1.474
	工作岗位	-.080	.051	-.107	-1.575	.116	-.179	.020	.578	1.730
	企业性质	-.129	.075	-.110	-1.718	.087	-.277	.019	.652	1.534
	组织氛围	.347	.057	.320	6.109	.000	.235	.459	.970	1.031

Collinearity Diagnostics
Model	Dimension	Eigenvalue	Condition Index	Variance Proportions
Model	Dimension	Eigenvalue	Condition Index	(Constant)	性别	年龄	学历	工作岗位	企业性质	组织氛围
1	1	6.421	1.000	.00	.00	.00	.00	.00	.00	.00
	2	.264	4.932	.00	.00	.07	.01	.30	.02	.00
	3	.126	7.136	.00	.10	.80	.00	.06	.03	.01
	4	.089	8.475	.00	.82	.08	.02	.03	.02	.06
	5	.056	10.674	.00	.01	.00	.00	.10	.29	.56
	6	.034	13.671	.00	.00	.05	.71	.00	.32	.14
	7	.009	27.469	1.00	.06	.00	.25	.51	.32	.22

Residuals Statistics
	Minimum	Maximum	Mean	Std. Deviation	N
Predicted Value	2.19	4.15	3.39	.350	332
Residual	-2.510	1.874	.000	.878	332
Std. Predicted Value	-3.440	2.158	.000	1.000	332
Std. Residual	-2.835	2.116	.000	.991	332

Regression

NotesNotes, 表, 0 个级别的列标题和 2 个级别的行标题, 包含 3 列 15 行的表
Output Created		18-DEC-2025 10:12:59
Comments
Input	Data	E:\dev\statsagent\test\testcase6\.agent.outputs\engine\SPSS\data.zsav
	Filter	<none>
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	332
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing.
Missing Value Handling	Cases Used	Statistics are based on cases with no missing values for any variable used.
Syntax		REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS CI(95) R ANOVA COLLIN TOL /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT 员工创新行为 /METHOD=ENTER Q1 Q2 Q3 Q4 Q5 工作特征 /RESIDUALS DURBIN.
Resources	Processor Time	00:00:00.02
	Elapsed Time	00:00:00.01
	Memory Required	8448 bytes
	Additional Memory Required for Residual Plots	18-DEC-2025 10:12:59

Variables Entered/Removed
Model	Variables Entered	Variables Removed	Method
1	工作特征, 年龄, 性别, 工作岗位, 学历, 企业性质^b	.	Enter
b. All requested variables entered.

Model Summary
Model	R	R Square	Adjusted R Square	Std. Error of the Estimate	Durbin-Watson
1	.286^a	.082	.065	.914	1.867
a. Predictors: (Constant), 工作特征, 年龄, 性别, 工作岗位, 学历, 企业性质

ANOVA
Model		Sum of Squares	df	Mean Square	F	Sig.
1	Regression	24.093	6	4.015	4.808	.000^b
	Residual	271.415	325	.835
	Total	295.508	331
b. Predictors: (Constant), 工作特征, 年龄, 性别, 工作岗位, 学历, 企业性质

Coefficients
Model		Unstandardized Coefficients		Standardized Coefficients	t	Sig.	95.0% Confidence Interval for B		Collinearity Statistics
Model		B	Std. Error	Beta	t	Sig.	Lower Bound	Upper Bound	Tolerance	VIF
1	(Constant)	2.866	.490		5.848	.000	1.902	3.830
	性别	-.022	.101	-.012	-.221	.825	-.221	.176	.990	1.011
	年龄	-.017	.042	-.024	-.417	.677	-.099	.065	.884	1.131
	学历	.092	.053	.112	1.737	.083	-.012	.195	.680	1.470
	工作岗位	-.090	.052	-.120	-1.720	.086	-.192	.013	.578	1.731
	企业性质	-.146	.078	-.124	-1.877	.061	-.299	.007	.649	1.540
	工作特征	.217	.055	.211	3.905	.000	.107	.326	.971	1.030

Collinearity Diagnostics
Model	Dimension	Eigenvalue	Condition Index	Variance Proportions
Model	Dimension	Eigenvalue	Condition Index	(Constant)	性别	年龄	学历	工作岗位	企业性质	工作特征
1	1	6.420	1.000	.00	.00	.00	.00	.00	.00	.00
	2	.264	4.931	.00	.00	.07	.01	.29	.02	.00
	3	.127	7.119	.00	.10	.79	.00	.06	.03	.01
	4	.088	8.560	.00	.84	.08	.02	.03	.03	.04
	5	.058	10.504	.00	.00	.01	.00	.10	.25	.60
	6	.035	13.594	.00	.00	.05	.69	.00	.35	.12
	7	.008	27.544	.99	.05	.00	.27	.51	.32	.22

Residuals Statistics
	Minimum	Maximum	Mean	Std. Deviation	N
Predicted Value	2.31	4.00	3.39	.270	332
Residual	-2.528	1.843	.000	.906	332
Std. Predicted Value	-4.025	2.255	.000	1.000	332
Std. Residual	-2.766	2.017	.000	.991	332

Regression

NotesNotes, 表, 0 个级别的列标题和 2 个级别的行标题, 包含 3 列 15 行的表
Output Created		18-DEC-2025 10:12:59
Comments
Input	Data	E:\dev\statsagent\test\testcase6\.agent.outputs\engine\SPSS\data.zsav
	Filter	<none>
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	332
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing.
Missing Value Handling	Cases Used	Statistics are based on cases with no missing values for any variable used.
Syntax		REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS CI(95) R ANOVA COLLIN TOL /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT 员工创新行为 /METHOD=ENTER Q1 Q2 Q3 Q4 Q5 个人自主性 /RESIDUALS DURBIN.
Resources	Processor Time	00:00:00.00
	Elapsed Time	00:00:00.01
	Memory Required	8448 bytes
	Additional Memory Required for Residual Plots	18-DEC-2025 10:12:59

Variables Entered/Removed
Model	Variables Entered	Variables Removed	Method
1	个人自主性, 企业性质, 性别, 年龄, 学历, 工作岗位^b	.	Enter
b. All requested variables entered.

Model Summary
Model	R	R Square	Adjusted R Square	Std. Error of the Estimate	Durbin-Watson
1	.331^a	.110	.093	.900	1.857
a. Predictors: (Constant), 个人自主性, 企业性质, 性别, 年龄, 学历, 工作岗位

ANOVA
Model		Sum of Squares	df	Mean Square	F	Sig.
1	Regression	32.462	6	5.410	6.685	.000^b
	Residual	263.046	325	.809
	Total	295.508	331
b. Predictors: (Constant), 个人自主性, 企业性质, 性别, 年龄, 学历, 工作岗位

Coefficients
Model		Unstandardized Coefficients		Standardized Coefficients	t	Sig.	95.0% Confidence Interval for B		Collinearity Statistics
Model		B	Std. Error	Beta	t	Sig.	Lower Bound	Upper Bound	Tolerance	VIF
1	(Constant)	2.812	.464		6.058	.000	1.899	3.726
	性别	.009	.099	.005	.087	.931	-.187	.204	.992	1.008
	年龄	-.021	.041	-.029	-.514	.607	-.102	.060	.884	1.132
	学历	.058	.053	.070	1.098	.273	-.046	.161	.664	1.505
	工作岗位	-.099	.051	-.133	-1.942	.053	-.200	.001	.583	1.715
	企业性质	-.148	.076	-.126	-1.943	.053	-.298	.002	.656	1.525
	个人自主性	.260	.051	.274	5.106	.000	.160	.360	.953	1.049

Collinearity Diagnostics
Model	Dimension	Eigenvalue	Condition Index	Variance Proportions
Model	Dimension	Eigenvalue	Condition Index	(Constant)	性别	年龄	学历	工作岗位	企业性质	个人自主性
1	1	6.420	1.000	.00	.00	.00	.00	.00	.00	.00
	2	.264	4.931	.00	.00	.07	.01	.30	.02	.00
	3	.126	7.149	.00	.10	.81	.00	.06	.03	.01
	4	.092	8.369	.00	.78	.07	.02	.03	.01	.09
	5	.057	10.627	.00	.04	.00	.00	.10	.32	.53
	6	.033	13.957	.00	.00	.04	.73	.00	.29	.22
	7	.009	26.477	.99	.07	.00	.24	.51	.32	.15

Residuals Statistics
	Minimum	Maximum	Mean	Std. Deviation	N
Predicted Value	2.40	3.99	3.39	.313	332
Residual	-2.700	1.922	.000	.891	332
Std. Predicted Value	-3.164	1.916	.000	1.000	332
Std. Residual	-3.001	2.136	.000	.991	332

Regression

NotesNotes, 表, 0 个级别的列标题和 2 个级别的行标题, 包含 3 列 15 行的表
Output Created		18-DEC-2025 10:12:59
Comments
Input	Data	E:\dev\statsagent\test\testcase6\.agent.outputs\engine\SPSS\data.zsav
	Filter	<none>
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	332
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing.
Missing Value Handling	Cases Used	Statistics are based on cases with no missing values for any variable used.
Syntax		REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS CI(95) R ANOVA COLLIN TOL /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT 员工创新行为 /METHOD=ENTER Q1 Q2 Q3 Q4 Q5 组织回报 /RESIDUALS DURBIN.
Resources	Processor Time	00:00:00.02
	Elapsed Time	00:00:00.01
	Memory Required	8448 bytes
	Additional Memory Required for Residual Plots	18-DEC-2025 10:12:59

Variables Entered/Removed
Model	Variables Entered	Variables Removed	Method
1	组织回报, 性别, 年龄, 企业性质, 学历, 工作岗位^b	.	Enter
b. All requested variables entered.

Model Summary
Model	R	R Square	Adjusted R Square	Std. Error of the Estimate	Durbin-Watson
1	.367^a	.135	.119	.887	1.831
a. Predictors: (Constant), 组织回报, 性别, 年龄, 企业性质, 学历, 工作岗位

ANOVA
Model		Sum of Squares	df	Mean Square	F	Sig.
1	Regression	39.813	6	6.635	8.434	.000^b
	Residual	255.695	325	.787
	Total	295.508	331
b. Predictors: (Constant), 组织回报, 性别, 年龄, 企业性质, 学历, 工作岗位

Coefficients
Model		Unstandardized Coefficients		Standardized Coefficients	t	Sig.	95.0% Confidence Interval for B		Collinearity Statistics
Model		B	Std. Error	Beta	t	Sig.	Lower Bound	Upper Bound	Tolerance	VIF
1	(Constant)	2.615	.461		5.678	.000	1.709	3.521
	性别	-.010	.098	-.005	-.102	.919	-.203	.183	.992	1.008
	年龄	-.022	.040	-.030	-.553	.581	-.102	.057	.884	1.132
	学历	.101	.051	.123	1.974	.049	.000	.201	.682	1.467
	工作岗位	-.082	.051	-.110	-1.629	.104	-.182	.017	.579	1.727
	企业性质	-.141	.075	-.119	-1.873	.062	-.289	.007	.656	1.525
	组织回报	.272	.045	.313	6.014	.000	.183	.361	.984	1.016

Collinearity Diagnostics
Model	Dimension	Eigenvalue	Condition Index	Variance Proportions
Model	Dimension	Eigenvalue	Condition Index	(Constant)	性别	年龄	学历	工作岗位	企业性质	组织回报
1	1	6.397	1.000	.00	.00	.00	.00	.00	.00	.00
	2	.264	4.922	.00	.00	.07	.01	.30	.02	.00
	3	.127	7.093	.00	.08	.79	.00	.06	.03	.04
	4	.093	8.287	.00	.70	.02	.01	.01	.00	.28
	5	.074	9.326	.00	.15	.07	.04	.09	.17	.49
	6	.036	13.253	.00	.00	.05	.62	.01	.47	.03
	7	.009	26.700	.99	.06	.00	.33	.53	.31	.16

Residuals Statistics
	Minimum	Maximum	Mean	Std. Deviation	N
Predicted Value	2.15	4.11	3.39	.347	332
Residual	-2.356	1.847	.000	.879	332
Std. Predicted Value	-3.601	2.055	.000	1.000	332
Std. Residual	-2.656	2.082	.000	.991	332

Regression

NotesNotes, 表, 0 个级别的列标题和 2 个级别的行标题, 包含 3 列 15 行的表
Output Created		18-DEC-2025 10:12:59
Comments
Input	Data	E:\dev\statsagent\test\testcase6\.agent.outputs\engine\SPSS\data.zsav
	Filter	<none>
	Weight	<none>
	Split File	<none>
	N of Rows in Working Data File	332
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing.
Missing Value Handling	Cases Used	Statistics are based on cases with no missing values for any variable used.
Syntax		REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS CI(95) R ANOVA COLLIN TOL /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT 员工创新行为 /METHOD=ENTER Q1 Q2 Q3 Q4 Q5 主管领导支持 /RESIDUALS DURBIN.
Resources	Processor Time	00:00:00.05
	Elapsed Time	00:00:00.01
	Memory Required	8448 bytes
	Additional Memory Required for Residual Plots	18-DEC-2025 10:12:59

Variables Entered/Removed
Model	Variables Entered	Variables Removed	Method
1	主管领导支持, 企业性质, 性别, 年龄, 学历, 工作岗位^b	.	Enter
b. All requested variables entered.

Model Summary
Model	R	R Square	Adjusted R Square	Std. Error of the Estimate	Durbin-Watson
1	.334^a	.112	.095	.899	1.808
a. Predictors: (Constant), 主管领导支持, 企业性质, 性别, 年龄, 学历, 工作岗位

ANOVA
Model		Sum of Squares	df	Mean Square	F	Sig.
1	Regression	32.982	6	5.497	6.805	.000^b
	Residual	262.526	325	.808
	Total	295.508	331
b. Predictors: (Constant), 主管领导支持, 企业性质, 性别, 年龄, 学历, 工作岗位

Coefficients
Model		Unstandardized Coefficients		Standardized Coefficients	t	Sig.	95.0% Confidence Interval for B		Collinearity Statistics
Model		B	Std. Error	Beta	t	Sig.	Lower Bound	Upper Bound	Tolerance	VIF
1	(Constant)	2.936	.454		6.471	.000	2.043	3.829
	性别	.012	.099	.006	.120	.905	-.183	.207	.992	1.008
	年龄	-.018	.041	-.025	-.445	.656	-.099	.062	.884	1.131
	学历	.090	.052	.110	1.740	.083	-.012	.192	.681	1.469
	工作岗位	-.085	.051	-.114	-1.659	.098	-.186	.016	.579	1.728
	企业性质	-.155	.076	-.132	-2.041	.042	-.305	-.006	.658	1.519
	主管领导支持	.234	.045	.273	5.174	.000	.145	.323	.980	1.020

Collinearity Diagnostics
Model	Dimension	Eigenvalue	Condition Index	Variance Proportions
Model	Dimension	Eigenvalue	Condition Index	(Constant)	性别	年龄	学历	工作岗位	企业性质	主管领导支持
1	1	6.369	1.000	.00	.00	.00	.00	.00	.00	.00
	2	.264	4.910	.00	.01	.07	.01	.30	.02	.00
	3	.132	6.948	.00	.01	.69	.00	.05	.01	.23
	4	.110	7.601	.00	.41	.07	.00	.01	.02	.43
	5	.079	8.994	.01	.49	.11	.04	.08	.15	.20
	6	.036	13.230	.00	.00	.05	.61	.01	.48	.03
	7	.009	25.980	.99	.08	.00	.33	.55	.31	.11

Residuals Statistics
	Minimum	Maximum	Mean	Std. Deviation	N
Predicted Value	2.40	4.12	3.39	.316	332
Residual	-2.545	1.964	.000	.891	332
Std. Predicted Value	-3.133	2.315	.000	1.000	332
Std. Residual	-2.831	2.185	.000	.991	332