Using empirical data, a researcher developed a linear regression model of Ỹ = 65 + 0.9x1 – 0.5x2 %3D to predict Y, the life span in years, where x, is the average hours per week of exercise and x2 is the number of years spent smoking. Using this model, what is the predicted life span for a person who exercised an average of 5 hours per week and smoked for 20 years? 50.5 years 59.5 years O 65 years 80.5 years
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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