8. A study was conducted to determine the relationship between employee job satisfaction and job performance. The result of the regression analysis produced the model below: Job Performance (y) = 0.18+0.95 Job Satisfaction (x) Which of the following statements is true about the equation? a. Job performance is independent of job satisfaction; such that, for every 1 unit change in Job Satisfaction, there is a 0.95 unit change in job performance. b. Job satisfaction is independent of job performance; such that, for every 1 unit change in Job performance, there is a 0.95 unit change in job satisfaction. C. Job performance is dependent on job satisfaction; such that, for every 1 unit change in job satisfaction, there is a 0.95 unit change in job performance. d. Job satisfaction is dependent on job performance; such that, for every 1 uni change in job satisfaction, there is a 0.95 unit change in job performance. e. Job satisfaction is not related to job performance.
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.
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