A researcher obtains the following STATA output by regressing salary (salary, $) on years of prior...

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A researcher obtains the following STATA output by regressing salary (salary, $) on years of prior experience (priorexp). Source Model Residual Total salary priorexp _cons SS 2.3573e+09 1.3938e+11 1.4174e+11 df 1 723 724 Coef. Std. Err. 376.3852 107.6373 46709.43 602.7425 MS 2.3573e+09 192783542 195773163 Consider the null hypothesis: Ho: Prior experience has no impact on salary. Which statement below is incorrect? Number of obs F(1, 723) Prob > F R-squared Adj R-squared Root MSE 725 t P>|t| [95% Conf. Interval] O We cannot reject the hypothesis that a person without prior experience will receive a salary of $50,000. O The null hypothesis should be rejected at the 5% significance level. O A person without prior experience is expected to get a salary significantly different from zero. O The t-statistic associated with this hypothesis testing is 3.50. A researcher obtains the following STATA output by regressing salary (salary, $) on years of prior experience (priorexp). Source Model Residual Total salary priorexp _cons SS 2.3573e+09 1.3938e+11 1.4174e+11 df 1 723 724 Coef. Std. Err. 376.3852 107.6373 46709.43 602.7425 MS 2.3573e+09 192783542 195773163 Consider the null hypothesis: Ho: Prior experience has no impact on salary. Which statement below is incorrect? Number of obs F(1, 723) Prob > F R-squared Adj R-squared Root MSE 725 t P>|t| [95% Conf. Interval] O We cannot reject the hypothesis that a person without prior experience will receive a salary of $50,000. O The null hypothesis should be rejected at the 5% significance level. O A person without prior experience is expected to get a salary significantly different from zero. O The t-statistic associated with this hypothesis testing is 3.50.

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