1. The correlation between the salary of the nurse and the number of days missed at...
1. The correlation between the salary of the nurse and the number of days missed at work in a sample of 100 nurses was found to be r = - 0.68, p = 0.001. Interpret what this correlation indicates (r value) and the p value? What does this correlation mean in terms of salary and missed work days?
2. What type of test would you use if the data fail to meet the assumptions of a parametric test?
Homework Answers
1. Correlation between the salary of the nurse and missed work.
r = -0.68
p = 0.001
if the nurses' salary increases, then the number of missed days at work decreases.
This shows that there is a negative correlation between the salary and missed workdays.
Because if r = 0 there is no correlation.
P = 0.001, then the data will not fall within the regression line.
2. R square test can be used to analyze the data and the coefficient of determination. It helps to fit the closer data within the regression line.
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