y.
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.
Use the regression identity for multiple linear regression to show that
R2 =1- SSE/SST.
a. Explain why this formula shows that the coefficient of multiple determination can also be interpreted as the percentage reduction in the total squared error obtained by using the regression equation instead of the
b. Referring to , what percentage reduction in the total squared error is obtained by using the regression equation instead of the mean of the observed prices to predict the observed prices?
c. Referring to , what percentage reduction in the total squared error is obtained by using the regression equation instead of the mean of the observed graduation rates to predict the observed graduation rates?
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