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1 answer:
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Answer <u>(assuming it can be in point-slope form)</u>:
Step-by-step explanation:
With the given information, we can use the point-slope formula, , to write the equation of the line. Substitute values for the
,
, and
in the formula to do so.
The represents the slope, so substitute
in its place. The
and
represent the x and y values of one point the line intersects, so substitute -6 for
and -8 for
. This gives the following answer and equation (just make sure to convert the double negatives into positives:
Hello!
As we can see, our a value, which would be the coefficient of , which determines our slope, is negative, meaning that this whole line is negative.
Furthermore, the correlation can be determined using the r value of the linear regression, which is around -0.9.
If the r value of the linear regression is close to 1 or -1, let's say around |r| > 0.8, then we can consider the regression a strong correlation, meaning that this is a strong negative correlation, which is answer choice A.