# Question

The health department of a large city has developed an air pollution index that measures the level of several air pollutants that cause respiratory distress in humans. The accompanying table gives the pollution index (on a scale of 1 to 10, with 10 being the worst) for 7 randomly selected summer days and the number of patients with acute respiratory problems admitted to the emergency rooms of the city’s hospitals.

a. Taking the air pollution index as an independent variable and the number of emergency admissions as a dependent variable, do you expect B to be positive or negative in the regression model y = A + Bx + E?

b. Find the least squares regression line. Is the sign of b the same as you hypothesized for B in part a?

c. Compute r and r2, and explain what they mean.

d. Compute the standard deviation of errors.

e. Construct a 90% confidence interval for B.

f. Test at a 5% significance level whether B is positive.

g. Test at a 5% significance level whether p is positive. Is your conclusion the same as in part f?

a. Taking the air pollution index as an independent variable and the number of emergency admissions as a dependent variable, do you expect B to be positive or negative in the regression model y = A + Bx + E?

b. Find the least squares regression line. Is the sign of b the same as you hypothesized for B in part a?

c. Compute r and r2, and explain what they mean.

d. Compute the standard deviation of errors.

e. Construct a 90% confidence interval for B.

f. Test at a 5% significance level whether B is positive.

g. Test at a 5% significance level whether p is positive. Is your conclusion the same as in part f?

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