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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Answer:
A
Step-by-step explanation:
(8-3^2)*9-6
8-9*9-6
-1*9-6
-9-6
-15
For this case we have that by definition, the equation of a line in the slope-intercept form is given by:

Where:
m: Is the slope
b: Is the cut-off point with the y axis
We have the following equation:

We manipulate algebraically:
We subtract 10 from both sides of the equation:

We subtract 3x from both sides of the equation:

We multiply by -1 on both sides of the equation:

We divide between 5 on both sides of the equation:

Thus, the equation in the slope-intercept form is 
Answer:
