Let us consider the following equation. lwage 30 + 0.125 educ + 0.078 age 0.0065 age? +0.15 teneure + 0.18 experience 1) Interpret the effect of one more year of age on predicted wage if the person is 45 years old. 2) If the VIF values for educ, age, age2, teneure, and experience are 12, 145, 175, 1.3, 2.5; interpret the results. 3) What is multicollinearity? Is the multicollinearity between age and age2 is obvious in the given model? Why or why