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Please answer correctly 1. [-/1 Points] DETAILS MENDSTATC4 3.TB.010. MY NOTES ASK YOUR TEACHER For which of the following tasks can the best-fitting regression line

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1. [-/1 Points] DETAILS MENDSTATC4 3.TB.010. MY NOTES ASK YOUR TEACHER For which of the following tasks can the best-fitting regression line be used? for calculating the correlation coefficient for calculating the covariance for finding the actual value of y for a given value of x O for predicting the value of y for a given value of x Need Help? Read It 2. [-/1 Points] DETAILS UHSTATA3 9.E.005. MY NOTES ASK YOUR TEACHER Suppose you know that the slope of a regression line is +3.5. Based on this value, explain what you know and do not know about the strength and direction of the relationship between the two variables. O We know there is a positive association, and we know the association is strong. We know there is a positive association, but we do not know the strength of the association. We know there is a negative association, and we know the association is strong. We know there is no association. We know there is a negative association, but we do not know the strength of the association. Need Help? Read It 3. [-/1 Points] DETAILS MENDSTATC4 12.TB.014. MY NOTES ASK YOUR TEACHER If an estimated regression line has a y-intercept of 10 and a slope of 4, then when x = 2 what is the actual value of y? O 15 O y is unknown O 14 O 18 Need Help? Read It 4. [-/1 Points] DETAILS MENDSTATC4 12.TB.015. MY NOTES ASK YOUR TEACHER Given the least-squares regression line y = 5 - 2x, what is said about the relationship between the two variables? O The relationship between x and y is positive. O As x decreases, so does y. The relationship between x and y is negative. As x increases, so does y. Need Help? Read It 5. [-/1 Points] DETAILS MENDSTATC4 12.TB.004. MY NOTES ASK YOUR TEACHER A regression analysis between sales (y in $1,000) and advertising (x in $100) resulted in the following least-squares line: y = 233 + 0.85x. Given this information, if advertising costs were $1,100, what could we reasonably expect the amount of sales (in dollars) to be? O $326.50 $242,350.00 $9,583.00 $11,241.50 Need Help? Read It

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