Graduate Level Statistics

Running head: CORRELATION AND CAUSATION 1

CORRELATION AND CAUSATION 2

Correlation and causation

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Part I: Pearson product-moment correlations

I performed the correlation between supervisor and coworkers. The formula used on the excel file was “=PEARSON(C2:C51,E2:E51)” and the value of Pearson product-moment correlations between supervisor and coworkers was found to be 0.51377574. The value of Pearson product-moment correlation should be between -1 and 1 where 0 signifies no correlation, 1 represents perfect linear correlation and negative 1 represents perfect negative correlation (Wilcox, 2017). The correlation between supervisor and coworkers is thus moderate positive correlation. A second correlation was performed between supervisor as the independent variable and happiness and the dependent variable. The formula used on the excel file was “=PEARSON(C2:C51,F2:F51)” and the value of Pearson product-moment correlations between supervisor and happiness was found to be 0.611237. Thus, there exists a moderately strong positive correlation between supervisor and happiness

Excel output

Correlation between supervisor and coworkers	0.51377574
Correlation between supervisor and happiness	0.61723072

References

Morgan, S., Reichert, T., & Harrison, T. R. (2016). From numbers to words: Reporting statistical results for the social sciences. Routledge.

Wilcox, R. (2017). Modern statistics for the social and behavioral sciences: A practical introduction. Chapman and Hall/CRC.