Question

Suppose we fit a regression line to predict the number of incidents of lung cancer per...

Suppose we fit a regression line to predict the number of incidents of lung cancer per 10,000 people from the number of cigarettes smoked in a year. For a particular year, we predict the incidence of lung cancer to be 7.9 per 10,000 people, and the residual for this year is -0.42.

Did we overestimate or underestimate the incidence of lung cancer? Explain your reason

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Answer #1

since we know that residual value =actual value -estimated value

the residual value is negative here which indicate that estimate value is greater than actual value

therefore we  overestimate the incidence of lung cancer

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