Identify the reasons the following statements are incorrect. Not all reasons will be used. Researchers found that the correlation between the number of pages in novels and the number of hours it takes to read them is r = 0.71 pages. The correlation between scores on an intelligence test and the test-takers' hair colors is r = -0.13. The amount of ice cream in a sundae and the total grams of fat are highly correlated (r = 1.15). The correlation between average gas mileage in miles per gallon and average highway speeds in miles per hour differs from the correlation between average gas mileage in miles per gallon and average highway speeds in kilometers per hour.
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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