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Showing 2 results for Linear Regression
Mr Shervin Eshaghi Nia, Dr Naser Shams Gharneh,
Volume 15, Issue 1 (7-2024)
Abstract
Background & Aim: Management style in medical care is very important in the guidance and performance of the treatment team. This is effective in improving the quality and reducing the treatment time and increasing the productivity of organizations. Using different management styles in organizations will lead to different results in employee performance and organizational productivity. The present study was conducted to determine the relationship between management styles and organizational productivity in the Children's Medical Center of Tehran University of Medical Sciences.
Methods & Materials: This study is predictive correlational in nature. It was conducted on 112 nurses and managers working in the treatment department who were selected based on the random sampling method from. The data were analyzed through conducting ANOVA, t-test, Pearson correlation, and linear regression analysis in SPSS version 16.
Results: The mean score of applying authoritarian style was 4.54, consultative style 5.54, collaborative style 5.55, relational style 5.64 and transformational style 5.59. There was a statistically significant and direct relationship between management style and organizational productivity (p<0.05), (r=0.760). The determination coefficient of linear regression modeling was used to predict the changes in organizational productivity based on the management style indicated that 87.2% of the changes in organizational productivity was explained under the influence of independent variables.
Conclusion: Due to the direct relationship between the use of management styles and organizational productivity, it is not possible to use one style in organizations and the use of different styles in different departments will improve the productivity of the organization.
Background & Aim: Management style in medical care is very important in the guidance and performance of the treatment team. This is effective in improving the quality and reducing the treatment time and increasing the productivity of organizations. Using different management styles in organizations will lead to different results in employee performance and organizational productivity. The present study was conducted to determine the relationship between management styles and organizational productivity in the Children's Medical Center of Tehran University of Medical Sciences.
Methods & Materials: This study is predictive correlational in nature. It was conducted on 112 nurses and managers working in the treatment department who were selected based on the random sampling method from. The data were analyzed through conducting ANOVA, t-test, Pearson correlation, and linear regression analysis in SPSS version 16.
Results: The mean score of applying authoritarian style was 4.54, consultative style 5.54, collaborative style 5.55, relational style 5.64 and transformational style 5.59. There was a statistically significant and direct relationship between management style and organizational productivity (p<0.05), (r=0.760). The determination coefficient of linear regression modeling was used to predict the changes in organizational productivity based on the management style indicated that 87.2% of the changes in organizational productivity was explained under the influence of independent variables.
Conclusion: Due to the direct relationship between the use of management styles and organizational productivity, it is not possible to use one style in organizations and the use of different styles in different departments will improve the productivity of the organization.
Mr Mohsen Eshaghinia, Dr Mohammad Reza Shahriari, Dr Kiamars Fathi Hafashjani,
Volume 17, Issue 1 (5-2026)
Abstract
The main objective of the research is to rank the risk factors of foreign investment and present a model of their impact on the risk of foreign investment in upstream oil industries. It is descriptive in nature and method, and in terms of relationships, inferential and correlational. The statistical population of the research includes managers and experts in the oil industry, and the sample size was estimated at 90 people by random sampling method. The data collected with questionnaires were analyzed using SPSS and Matlab software. The results showed that according to the experts of the statistical population, political risk is in the first rank of mportance in creating foreign investment risk. Also, in the fuzzy regression method, the correlation between foreign investment risk factors and foreign investment risk is completely significant, and political risk has the greatest impact on foreign investment risk, and economic, social and non-commercial risks are in the next ranks. By examining the overall fit of the proposed model, it was determined that the appropriate power of fit of the proposed model has been able to determine the relationship between the independent and dependent variables of the research well.
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