A researcher is interested in the relationship between one’s satisfaction with pay (X) and one’s commitment to the organization (Y). The researcher collects data from 24 employees and finds that the correlation between the two variables is r = 0.22. Identify and calculate the appropriate test statistic.Make sure to report the degrees of freedom for the statistical test (if appropriate). State your conclusions (use a two-tailed test with a = .05 for all tests). Compute an effect size.
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 researcher is interested in the relationship between one’s satisfaction with pay (X) and one’s commitment to the organization (Y). The researcher collects data from 24 employees and finds that the
- Identify and calculate the appropriate test statistic.Make sure to report the degrees of freedom for the statistical test (if appropriate).
- State your conclusions (use a two-tailed test with a = .05 for all tests).
- Compute an effect size.
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