The value of r-squared (the coefficient of determination) is 0.035. It tells us that 3.5% explained variation and 96.5% of the variation is unexplained.
R-squared (R²) is a statistical measure of the proportion of the dependent variable's variance explained by one or more independent variables in a regression model. Correlation describes the strength of the relationship between the independent and dependent variables, while r-squared describes how much the variance of one variable explains the variance of the second variable. Formula for R-Squared is
R² = 1 - Unexpected variation/total variation
We have , Linear correlation coefficient, r = -0.187
Coefficient of determination, r² = (-0.187)²
= 0.035
This value tells us the proportion of variation in the dependent variables that is explained by the independent variable. The coefficient of determination, R² = 0.035. That is 3.5% of the variation is explained and 96.5% of the variation is unexplained.
To learn more about R-squared, refer :
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