When we regress y on x1, we obtain the following simple regression line: 𝑦 ~ = 𝛽 ~ 0 + 𝛽 ~ 1 𝑥 1   (1). When we regress y on x1 and x2, we obtain the following multiple regression line: 𝑦 ^ = 𝛽 ^ 0 + 𝛽 ^ 1 𝑥 1 + 𝛽 ^ 2 𝑥 2  (2). The relationship between 𝛽 ~ 1  and 𝛽 ^ 1  is: 𝛽 ~ 1 = 𝛽 ^ 1 + 𝛽 ^ 2 𝛿 1 ~  (3), where 𝛿 1 ~  is the slope coefficient of the regression of x2 on x1, 𝑥 ~ 2 = 𝛿 ~ 0 + 𝛿 ~ 1 𝑥 1  (4). Let y = ln(wage), x1 = educ, and x2 = exper, where wage is hourly wage (measured in dollars), educ is years of formal education, and exper is years of labor market experience. Assuming 𝛽 ^ 1 , 𝛽 ^ 2 > 0, which of the following statements is correct?