6. You compute the correlation coefficient between hours of TV watched each week and gradepoint index for a group of college students, and you obtain r= - 1.65. This means that (a) you made an arithmetic mistake. (b) students who watch more TV tend to get lower grades. (c) students who watch more TV tend to get higher grades. (d) there is little association between TV viewing and gradepoint index.
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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