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satisfaction_level last_evaluation number_project average_monthly_hours me_spend_compar Work_accident left tion_last_5years satisfaction_level 1 last_evaluation 0.107548139 1 number_project -0.156775554 0.330755082 average_monthly_hours -0.029804706 0.31249213 0.409341175 time_spend_company -0.107811035 0.11629984 0.173520277 0.11715042

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satisfaction_level last_evaluation number_project average_monthly_hours me_spend_compar Work_accident left tion_last_5years satisfaction_level 1 last_evaluation 0.107548139 1 number_project -0.156775554 0.330755082 average_monthly_hours -0.029804706 0.31249213 0.409341175 time_spend_company -0.107811035 0.11629984 0.173520277 0.11715042 Work_accident 0.045394131 -0.015145742 -0.00751259 -0.003605254 -0.024947729 1 left -0.409367148 -0.008426405 0.016145282 0.07617243 0.138993176 -0.158747784 1 promotion_last_5years 0.004019924 -0.018098029 0.004936161 -0.012826089 0.082611679 0.05950071 -0.07426 1 Q1. The longer one stays at the company the higher he/she is satisfied with thecompany. Does your data support this statement? Explain by citing numbers from thecorrelation matrix. Q.2 Explain the relationship between number_project and left. Cite numbers from the correlation matrix to support your statement. Feedback Hub Q3: What are the top two variables relating to an employee's decision to leave the company? Make sure you also explain the relationship of the variables with left

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