Multiple linear regression used to analyse the corelation between GDP and some variables
Journal Title: Revista Romana de Statistica - Year 2016, Vol 64, Issue 9
Abstract
Statistical researchers often use a linear relationship to predict the (average) numerical value of Y for a given value of X using a straight line (called the regression line). If you know the slope and the y-intercept of that regression line, then you can plug in a value for X and predict the average value for Y. In other words, you predict (the average) Y from X. If you establish at least a moderate correlation between X and Y through both a correlation coefficient and a scatterplot, then you know they have some type of linear relationship.
Authors and Affiliations
Constantin Anghelache, Cristina Sacala
Keywords
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