When calculating correlation and regression both sets of data must be Statistical.
According to the statement
we have to find the type of data when we calculate the correlation and regression both sets.
so, The difference between these two statistical measurements is that correlation measures the degree of a relationship between two variables (x and y), whereas regression is how one variable affects another.
And when we calculate both then data sets must be a statistical data. because correlation summarizing direct relationship between two variables and regression predict or explain numeric response. So, without statistical data this is not possible to calculate correlation and regression both sets.
so, When calculating correlation and regression both sets of data must be Statistical.
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There is 16 ounces in a pound, and #1 is B I believe
Answer:
x^3 + 6x^2 + 12x + 8
Step-by-step explanation:
(x+2)(x+2)(x+2)
(x^2 + 4x + 4)(x+2)
x^3 + 2x^2 + 4x^2 + 8x + 4x + 8
x^3 + 6x^2 + 12x + 8
To solve a problem like this, we can setup a basic algebraic equation.
52+14=x
66=x
We know this equation is true because 14 years ago, she was 52 so 14 years later, she is 66.
