The equation used to predict college GPA (range 0-4.0) is y=0.18+0.53x1+0.002x2, where x1 is high school GPA (range 0-4.0) and x2 is college board score (range 200-800). Use the multiple regression equation to predict college GPA for a high school GPA of 3.4 and a college board score of 500. The predicted college GPA for a high school GPA of 3.4 and a college board score of 500 is ____. (Round to the nearest tenth asneeded.)
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.
The equation used to predict college GPA (
The predicted college GPA for a high school GPA of 3.4 and a college board score of 500 is ____.
(Round to the nearest tenth asneeded.)
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