Aspects of Students’ Academic Behavior A college statistics professor is interested in the relationship among various aspects of students’ academic behavior and their final grade in the class. She found a significant relationship between the number of hours spent studying statistics per week, the number of classes attended per semester, the number of assignments turned in during the semester, and the student’s final grade. This relationship is described by the multiple regression equation: Predict the final grade for a student who studies statistics 8 hours per week, attends 34 classes, and turns in 11assignments.
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.
Aspects of Students’ Academic Behavior
A college statistics professor is interested in the relationship among various aspects of students’ academic behavior and their final grade in the class. She found a significant relationship between the number of hours spent studying statistics per week, the number of classes attended per semester, the number of assignments turned in during the semester, and the student’s final grade. This relationship is described by the multiple regression equation:
Predict the final grade for a student who studies statistics 8 hours per week, attends 34 classes, and turns in 11assignments.
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