Answer:
A
Step-by-step explanation:
Simple linear regression is a statistical method that summarizes and study relationships between two continuous quantitative variables.
One variable is regarded as the predictor, explanatory, or independent variable and the other variable is regarded as the response, outcome, or dependent variable.
Two variables can be denoted by X and Y.
Among the given options, the correct option is A. After conducting a hypothesis test to test that the slope of the regression equation is nonzero, you can conclude that your predictor variable, X, causes Y
Answer <u>(assuming it can be in slope-intercept form)</u>:
Step-by-step explanation:
1) First, find the slope of the line by using the slope formula,
. Substitute the x and y values of the given points into the formula and solve:
So, the slope is
.
2) Now, use the point-slope formula
to write the equation of the line in point-slope form. Substitute real values for the
,
, and
in the formula.
Since
represents the slope, substitute
in its place. Since
and
represent the x and y values of one point the line intersects, choose any one of the given points (either one is fine, it will equal the same thing at the end) and substitute its x and y values into the formula as well. (I chose (0, -7), as seen below.) Then, isolate y to put the equation in slope-intercept form and find the following answer:

Step-by-step explanation:
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Answer:
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Step-by-step explanation:
$12?
i think