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Read the following description of a data set.\newlineA team of forestry specialists from the Howard lumber company visited a section of the forest that was going to be logged for timber. They took measurements to evaluate the health and growth of trees in the area.The team counted the number of rings on several trees to find their ages (in years), xx. They also measured the diameter of these trees (in meters), yy.The least squares regression line of this data set is:y=0.015x+0.388y = 0.015x + 0.388\newlineComplete the following sentence:\newlineIf a tree were one year older, the least squares regression line predicts that its diameter would be __\_\_ meters larger.

Full solution

Q. Read the following description of a data set.\newlineA team of forestry specialists from the Howard lumber company visited a section of the forest that was going to be logged for timber. They took measurements to evaluate the health and growth of trees in the area.The team counted the number of rings on several trees to find their ages (in years), xx. They also measured the diameter of these trees (in meters), yy.The least squares regression line of this data set is:y=0.015x+0.388y = 0.015x + 0.388\newlineComplete the following sentence:\newlineIf a tree were one year older, the least squares regression line predicts that its diameter would be __\_\_ meters larger.
  1. Identify slope: Identify the slope of the least squares regression line. The equation given is y=0.015x+0.388y = 0.015x + 0.388. The slope of the least squares regression line is the coefficient of xx, which is 0.0150.015. This slope indicates the change in the diameter of the tree (yy) for each one year increase in the age of the tree (xx).
  2. Interpret slope: Interpret the slope in the context of the problem. Since the slope is 0.0150.015, this means that for each one year increase in age, the diameter of the tree is predicted to increase by 0.0150.015 meters.

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