X1 hign-school grade point average X2 = SAT mathematics score y = final college grade point average. Interpret the coefficients in this estimated regression equation. The expected increase in final college grade point average corresponding to a one point increase in high school grade point average is college grade point average corresponding to a one point increase in the SAT mathematics score is the high school grade point average does not change. when SAT mathematics score does not change. Similarly, the expected increase in final when Predict the final college GPA for a student who has a high-school average of 85 and a score of 540 on the SAT mathematics test. (Round your answer to two decimal places.)
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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