wage Coef. Std. Err. t P>|t| [95% ll:onf. Interval] etluc . 5969651 . 6512635 11 . 66 II . III .4932116 . 6991126 exper . 6223355 . 6126568 1 . 35 I . I\" . 6613464 . \"66254 tenure . 1692661 . 6216446 1 . 62 6 . Ill . 1261414 . 2111699 Jens 4.612135 .1269643 4.54 6.!\" 4.364199 4.446611 where wage is hourly wage in U55. exper is years of work experience. and tenure is years of tenure with the current employers. Assume that the classical linear model assumptions hold. Imagine you want to test whether the effect of experience is statistically signicant. In contrast to what we typically do in the course. you want to conduct WW3, The null hypothesis is that experience has no effect on wage. The alternative hypothesis is that the effect of experience on wage is positive. W is the estimated effect of experience on wage statistically signicant at the 5% level? How do you know? Hint: start your answer with "Yes, because" or "No. because"