The coefficient of determination is the square of the correlation coefficient also known as "r" in statistics. The value "r" can result in anegative numberbut r2 can't result in a negative number because r-squared is the result of "r" multiplied by itself or squared. The square of a ...
Value of Multiple RRefers to 1 Strong positive relationship 0 No relationship -1 Strong negative relationship R Square (Coefficient of Determination): R Square reveals the goodness of fit. That means how many points fit with the regression line. The higher the value of R Square, the better-fi...
Interpret the below of your above regression analysis; [6 marks] R square [2 marks] Coefficients [2marks] Residuals[2 marks]Show transcribed image text Here’s the best way to solve it. Solution 100% (1 rating) Share R2 - R square (the Coefficient o...
Suppose you are given a particular set of data and found that r = -.78. How would you interpret this result? Coefficient of correlation: The value of r is the coefficient of correlation. This always lies between -1 and +1(−1≤r≤1)for data ...