題組內容

2.4 (10%) Multiple regression analysis was used to study how an individual's income (Y in thousands of dollars) is influenced by age (X₁ in years), level of education (X₂ ranging from 1 to 5), and the person's gender (X₃ where 0=female and 1=male). The following is a partial result of computer output that was used on a sample of 20 individuals.

(e) (2%) Suppose a new person with \( X_{1} = 40 \), \( X_{2} = 4 \), \( X_{3} = 1 \). Use the estimated regression equation from part (a) to estimate the new person's income.