Which of the following is TRUE? In a good regression model, the residuals plot shows a random pattern. I. II. Sum of squares regression (SSR) can be equal to total sum of squares (ST). II. Changing the units of measurement for x or y changes the correlation coefficient. O I and Il only O l and III only O I, I l and II O II and II only If the sum of squares regression (SSR) is 150, which of the following must be TRUE? O The proportion of unexplained variation is less than 150. O The sum of squares error (SSE) must be greater than 150. O The total sum of squares (SST) is at least 150. The coefficient of correlation is 0.9.
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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