Answer: -0.58
Step-by-step explanation:
Answer:
Correct option:
Is a measure of the amount of variability in one variable that is shared by the other.
Step-by-step explanation:
<em>R</em>-squared is a statistical quantity that measures, just how near the values are to the fitted regression line. It is also known as the coefficient of determination.
The coefficient of determination <em>R</em>² specifies the percentage of the variance in the dependent-variable (<em>Y</em>) that is forecasted or explained by linear regression and the forecaster variable (<em>X</em>, also recognized as the independent variable).
The coefficient of determination <em>R</em>² can be computed by the formula,
Or,
Here,
MSS = model/regression sum of squares
TSS = total sum of squares
Thus, the correct option is:
" Is a measure of the amount of variability in one variable that is shared by the other."
Answer:
f(g(x)) = g(f(x)) = x
Step-by-step explanation:
Lemma;
If f(x) and g(x) are inverses, then the compositions f(g(x)) = g(f(x)) = x