<span>A correlation
coefficient is a measure of the strength of dependence and correlation of a set
of data. It shows how good is the fitted model to the data. It will have values
ranging from -1.0 - 1.0. Having a coefficient that is the lower or the upper
limit will tell you that the model best fit the data and a good correlation.
However, as it goes farther from the limits then the correlation is to be a bad
one.</span>
Answer:
Step-by-step explanation:
y = a * x(x - 3)(x + 1)^2
2,12 is used to find the value of a
y = a (2)(2 - 3)(2 + 1)^2
12 = a (2)(-1)(3)^2
12 = a (2) (-1) (9)
12 = - 18*a
12/-18 = a
a = - 2/3
y = (-2/3)*x*(x - 3)(x + 1)^2
Answer:
translation
Step-by-step explanation:
right 7 down 9
