Use the first image to answer the second image

0. Suppose we think experience and education are both related to wages and we formulate the model In(wage;) = Bo + Breduc; + Byexper + & When we estimate this model on a sample of data, it returns Call: 1m(formula = log(wagel_dropSwage) ~ wagel_dropSeduc + wage1_dropSexper) Residuals : Min 1Q Median 3Q Max -2. 0506 -0.2951 -0.0458 0.3012 1.4490 Coefficients: Estimate Std. Error t value Pr(>It[) (Intercept) 0. 149973 0. 112015 1.339 0. 181 wagel_dropseduc 0. 102860 0. 007896 13.026