Analysis of the Influence of Repair on Dedication: Evidence from a Linear Regression Model

Abstract

The present study analyzes the relationship between the variable Repair and the Average dedication using a simple linear regression model. The research is based on theoretical frameworks such as Human Capital Theory, Behavioral Economics, and learning and cognition models, which explain the possible association between repair and dedication in different contexts. It is hypothesized that an increase in Repair is associated with greater dedication, which may reflect a process of adjustment and optimization of performance. To test this hypothesis, a quantitative design was used with econometric estimates that included specification, linearity, homoscedasticity, and autocorrelation tests. The results reveal that the coefficient of the independent variable is significant at 99% (p<0.001p < 0.001), which confirms the existence of a positive relationship between both variables. Likewise, the model presents an adequate fit according to the test statistics, validating the relevance of the proposed regression. The conclusions highlight the importance of Repair as a factor that affects the Average dedication, suggesting that strategies aimed at improving correction and adjustment processes can positively impact efficiency and performance. These findings contribute to the literature on productivity and learning, and open new lines of research on the mechanisms underlying this relationship.