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The regression analysis examines the relationship between annual salary and scores, revealing an R-squared value of 0.219, indicating that approximately 21.9% of the variance in scores can be explained by annual salary. The ANOVA results show a significant regression model (F = 16.225, p < 0.001), suggesting that annual salary significantly predicts scores. However, the conclusion states that there is no statistically significant variable at the 0.05 significance level.

Author

Lini Leniency

Language

EN