<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>In this study, the linear regression equation is used to express the quantitative dependence of the variables and variables of the value of innovation and entrepreneurship education, the regression equation is optimized based on the BP neural network, and the regression analysis model of innovation and entrepreneurship education is constructed, and the significance test of the equation is carried out through the ANOVA method. The large sample research method was used to obtain samples of research material for public innovation and entrepreneurial education value cognition, which were then analyzed using SPSS software. The differences in gender, age, education, and specialty on the value cognition of innovation and entrepreneurship education are investigated by ANOVA, and the model constructed in this paper is used to explore the influence of an individual’s social consciousness, innovation, and entrepreneurship environment and education on their value cognition of entrepreneurship education, to summarize the value path of innovation and entrepreneurship education. From the current situation of value cognition and difference analysis, the value cognition level of innovation and entrepreneurship education of the survey respondents scored 3.78, and the significance of attitude willingness and individual value cognition in the single-factor analysis of age was 0.048 and 0.024, which were less than 0.05, and age had a significant effect on the overall cognition level.</p>
</abstract>

In this study, the linear regression equation is used to express the quantitative dependence of the variables and variables of the value of innovation and entrepreneurship education, the regression equation is optimized based on the BP neural network, and the regression analysis model of innovation and entrepreneurship education is constructed, and the significance test of the equation is carried out through the ANOVA method. The large sample research method was used to obtain samples of research material for public innovation and entrepreneurial education value cognition, which were then analyzed using SPSS software. The differences in gender, age, education, and specialty on the value cognition of innovation and entrepreneurship education are investigated by ANOVA, and the model constructed in this paper is used to explore the influence of an individual’s social consciousness, innovation, and entrepreneurship environment and education on their value cognition of entrepreneurship education, to summarize the value path of innovation and entrepreneurship education. From the current situation of value cognition and difference analysis, the value cognition level of innovation and entrepreneurship education of the survey respondents scored 3.78, and the significance of attitude willingness and individual value cognition in the single-factor analysis of age was 0.048 and 0.024, which were less than 0.05, and age had a significant effect on the overall cognition level.

Research and analysis on the value path of innovation and entrepreneurship education based on SPSS statistical analysis modeling

Department of Admission and Employment of Hunan Institute of Technology

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

In this study, the linear regression equation is used to express the quantitative dependence of the variables and variables of the value of innovation and...

Research and analysis on the value path of innovation and entrepreneurship education based on SPSS statistical analysis modeling

Publicado en línea: 31 ene 2024

Páginas: -

Recibido: 26 dic 2023

Aceptado: 01 ene 2024

DOI: https://doi.org/10.2478/amns-2024-0309

Palabras clave
Linear regression, BP neural network, ANOVA, SPSS, Educational value

© 2024 Yuejia Xiong et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Research and analysis on the value path of innovation and entrepreneurship education based on SPSS statistical analysis modeling

Publicado en línea: 31 ene 2024

Páginas: -

Recibido: 26 dic 2023

Aceptado: 01 ene 2024

DOI: https://doi.org/10.2478/amns-2024-0309

Palabras claveLinear regression, BP neural network, ANOVA, SPSS, Educational value

© 2024 Yuejia Xiong et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Palabras clave
Linear regression, BP neural network, ANOVA, SPSS, Educational value