The
coefficient of determination (denoted by

<span>) is a key output of </span>regression<span> analysis.
It is interpreted as the proportion of the variance in the dependent variable that is predictable from the independent variable.
</span>The coefficient of determination (R2) for a linear regression model with one independent variable is:
= {
Σ
(σx * σy )] }^2
where N is the number of observations used to fit the model, Σ is the summation symbol,

<span> is the x value for observation i, </span>x<span> is the mean x value, </span>

<span> is the y value for observation i, </span>y<span> is the mean y value, σ</span>x<span> is the standard deviation of x, and σ</span>y <span>is the standard deviation of y.</span>
4 - 6h - 8h = 60
First, simplify. / Your problem should look like:
Second, subtract 4 from both sides. / Your problem should look like:
Third, subtract 60 - 4. / Your problem should look like:
Fourth, divide both sides by -14. / Your problem should look like:
Fifth, simplify the fraction into a negative. / Your problem should look like:
Sixth, since 4 goes into 14 to get 56, simplify the fraction by 4. / Your problem should look like:

Answer:
h = -4
I'm pretty sure the answer would be D because one of the properties of a rectangle is that opposite sides are congruent, and statement D shows that.
Answer:
56, 6.56, 0.23, -538 are the rational numbers
Answer:
6
Step-by-step explanation:
12÷2=6
Hope this helps! :)