I need help solving this problem. For the research question, a multiple regression analysis was chosen because software development efficiency is a continuous outcome variable. and logical reasoning scores, technical interview ratings, and coding experience are continuous predictor variables. The results are as follows:

A multiple linear regression was performed to investigate the extent to which coding experience, technical interview ratings, and logical reasoning scores are significance predictors of software development efficiency. The model was statistically significant (F(3, 96) = 21.60, p <.001) and accounted for a substantial portion of the variance in software development efficiency (R =.403, Adjusted R =.385). This suggests that the three predictors together represented for approximately 40.3% of the variance in software development efficiency.

The model was significantly influenced by all three predictors. Logical reasoning scores were a significant positive predictive factor (B = 0.371, SE = 0.060, = 0.489, t = 6.20, p <.001), indicating that software development efficiency is positively correlated with increased logical reasoning abilities. Also, efficiency was significantly predicted by the technical interview rating (B = 6.71, SE = 2.19, = 0.242, t = 3.06, p =.003), indicating that higher ratings are associated with increased efficiency. Furthermore, coding experience was a significant predictive factor (B = 2.73, SE = 0.73, = 0.296, t = 3.76, p <.001), suggesting that the efficacy of software development is improved by a greater amount of coding experience.

The Shapiro-Wilk test was performed to evaluate the residuals' normality, and the results were significant (p =.038), indicating a minor deviation from normality. However, the standardized residuals were approximately evenly distributed, with minor deviations in the tails, as evidenced by a visual examination of the Q-Q plot.

The findings suggest that logical reasoning scores, technical interview ratings, coding experience, and technical interview ratings serve as significant predictors of software development efficiency, collectively accounting for a substantial amount of the variance in efficiency scores.. The Q-Q diagram indicates that deviations from normality are minimal and unlikely to significantly impact the validity of the results, despite the statistically significant finding on the normality test.

From the above information please provide an explanation of the following: Describe the limitations of the analysis. Discuss the potential confounding variables or biases could affect the results, and how they can be addressed in future research. Explain implications of the findings, and how these results can be applied in real-world situations related to these variables.