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A Medical Statistician Wanted to Examine the Relationship Between the Amount

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A medical statistician wanted to examine the relationship between the amount of sunshine (x) in hours, and incidence of skin cancer (y). As an experiment he found the number of skin cancers detected per 100,000 of population and the average daily sunshine in eight counties around the country. These data are shown below. A medical statistician wanted to examine the relationship between the amount of sunshine (x) in hours, and incidence of skin cancer (y). As an experiment he found the number of skin cancers detected per 100,000 of population and the average daily sunshine in eight counties around the country. These data are shown below.   Determine the least squares regression line.   = ______________ Draw a scatter diagram of the data and plot the least squares regression line on it. Estimate the number of skin cancer per 100,000 of population for 6 hours of sunshine. ______________ Calculate the residual corresponding to the pair (x, y) = (8, 15). ______________ Determine the least squares regression line. A medical statistician wanted to examine the relationship between the amount of sunshine (x) in hours, and incidence of skin cancer (y). As an experiment he found the number of skin cancers detected per 100,000 of population and the average daily sunshine in eight counties around the country. These data are shown below.   Determine the least squares regression line.   = ______________ Draw a scatter diagram of the data and plot the least squares regression line on it. Estimate the number of skin cancer per 100,000 of population for 6 hours of sunshine. ______________ Calculate the residual corresponding to the pair (x, y) = (8, 15). ______________ = ______________
Draw a scatter diagram of the data and plot the least squares regression line on it.
Estimate the number of skin cancer per 100,000 of population for 6 hours of sunshine.
______________
Calculate the residual corresponding to the pair (x, y) = (8, 15).
______________

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