Download and open the data file Telco Extra CSUGlobal (linked at the bottom of the page and also available on the Course Information page).
Perform statistical analysis Pearson’s r on “Months with service (tenure)” with “Household Income (income).” Menu steps: “Analyze” menu – Correlate – Bivariate (check the boxes for “Pearson,” “One-tailed,” and “Flag significant correlations”) – OK.
Examine the size of the correlation coefficient (Pearson’s r) and report on the relationship.
If Pearson’s r is significant between some pairs of variables, will it be sufficient evidence for a causal relationship? Explain your reasons.
Do you think that the correlation between tenure and income is positive or negative for this data file that contains only adults? Why?
Perform statistical analysis Kendall’s tau and Spearman’s rho on “Level of Education” with “Age in Years.” Menu steps: “Analyze” menu – Correlate – Bivariate (check the boxes for “Kendall,” “Spearman,” “One-tailed,” and “Flag significant correlations”) – OK
Examine the size of the correlation coefficient and report on the relationship.
Why do you think that we have used a one-tailed test for these?
Why do you think that you used Spearman and Kendall’s correlation for age with education, whereas you used the Pearson test for tenure with income?
Conduct a Chi-square run to test whether marital status has an influence on the churn rate within the last month.