An empirical analysis of women in upper management positions at different firms was published in a journal. Monthly data (n=252 months) were collected for several variables, including the number of females in managerial positions, the number of females with a college degree, and the number of female high school graduates with no college degree. Complete parts a and b. a. The correlation coefficient relating number of females in managerial positions and number of females with a college degree was reported as r=0.247.Interpret this result. There is a ________ linear relationship between number of females in managerial positions and number of females with college degree. b. The correlation coefficient relating number of females in managerial positions and number of female high school graduates with no college degree was reported as r=0.041. Interpret this result. There is a ________ linear relationship between number of females in managerial positions and number of female high school graduates with no college degree.
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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