A survey across generations of workers gathered data on engagement at work. The results for a sample of 1,000 workers are in the accompanying contingency table. At the 0.05 level of significance, is there evidence of a significant relationship between generation and level of engagement in the workplace? What are the null and alternative hypotheses to test?
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
A survey across generations of workers gathered data on engagement at work. The results for a sample of 1,000 workers are in the accompanying
What are the null and alternative hypotheses to test?
![Generation and Level of Engagement
GENERATION
LEVEL OF ENGAGEMENT Millennials Gen Xers Baby Boomers Traditionalists Total
108
104
100
328
Engaged
Not Engaged
Actively Disengaged
Total
16
195
151
135
17
498
53
59
56
6
174
352
318
291
39
1,000
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![What are the null and alternative hypotheses to test?
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