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Suppose we fit a regression line to predict the number of incidents of skin cancer per 1,000 people from the number of sunny days in a year. For a particular year, we predict the incidence of skin cancer to be 1.5 per 1,000 people, and the residual for this year is 0.5. Did we over or under estimate the incidence of skin cancer? Explain your reasoning.

Respuesta :

edalloar1989

Answer: The incidence of skin cancer (melanoma) has been underestimated.

Step-by-step explanation: The frequency of melanoma is more than 20 times higher in whites than in black Americans. In general, the risk of melanoma in the course of life is approximately 2.6% (1 in 38) for whites, 0.1% (1 in 1.000) for black people and 0.58% (1 in 172) for Hispanics. the risk for each person can be affected by a different number of factors.

MrRoyal

The true statement is we underestimate the incidence of skin cancer

The given parameters are:

Predicted value = 1.5

Residual = 0.5

The actual value is then calculated as:

Actual = Prediction + Residual

So, we have:

Actual = 1.5 + 0.5

Actual = 2.0

Since the predicted value (1.5) is less than the actual value (2.0), then it means that we underestimate the incidence of skin cancer

Read more about residuals at:

https://brainly.com/question/2732316

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