Simon had $15 to spend for lunch. He bought a large orange soda for $3.25 and a
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Answer:
positive
Step-by-step explanation:
The slope of the regression line is the product of the correlation coefficient and the ratio of the standard deviations of y and x. Standard deviations are always positive, so the sign of the regression line slope is determined by the sign of the correlation coefficient.
If the correlation is positive, the slope of the regression line is positive.
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In the formula attached, "b" represents the slope of the regression line.
