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A researcher in Alaska (Edward) measures the age (in months) and the weight (in pounds) of a random sample of adolescent moose. When the least-squares

A researcher in Alaska (Edward) measures the age (in months) and the weight (in pounds) of a random sample of adolescent moose. When the least-squares regression analysis was performed, the correlation was 0.59. Which of the following is true based off this correlation, r=.59.

a) About 35% of the variation in moose weight can be accounted for by the LSRL where x=age.

b) About 59% of the variation in moose weight can be accounted for by the LSRL where x=age.

c) Moose weight is typically .59 pounds away from the predicted weight based off the LSRL where x=age.

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