1. Correlation between number of projects and average monthly
hours
Technical Interpretation
The P-value is smaller then my alpha (.01) therefore we reject the
H0 and conculde
there is a strong and posiotive correlation between number of
projects and average
monthly hours.
Non-Technical Interpretation
The more hours you work a weak the more project you will
complete.
Plot
2.satisfaction_level & time_spend_company Correlation
Technical Interpretation
The P-value is smaller then my alpha (.01) therefore we reject the
H0 and conculde
there is a weak and negative correlation between time spent at
company and satisfaction level.
Non-Technical Interpretation
The more time you spend at the company you are slightly less
satisifed.
Plot
3. satisfaction_level & last_evaluation Correlation
Technical Interpretation
The P-value is smaller than my alpha (.01), so we reject the H0 and
conclude
there is a moderate and positive correlation between satisfaction
level and last evaluation.
Non-Technical Interpretation
People who perform well in their last evaluation also tend to be
more satisfied with their job.
Plot
4. average_montly_hours & last_evaluation Correlation
Technical Interpretation
The P-value is smaller than my alpha (.01), so we reject the H0 and
conclude
there is a moderate and positive correlation between average monthly
hours and last evaluation.
Non-Technical Interpretation
Employees who work more hours each month tend to receive better
performance evaluations.
Plot
