13.2 Significance Tests of the Regression Model and Its Coefficients Researchers have created a regression model to test the effect of years of education (X1) and years of job experience (X2) on income for white-collar employees in a company, using a random sample of 40 employees from the company. The model produces an overall f statistic of 3.28 and t statistics of 1.70 for X1 and 1.86 for X2. Alpha = 0.10 and the tests for the individual coefficients are two-tailed. What conclusions should the researchers draw from this data? O The overall model is significant in predicting income; in a model also including years of education, years of job experience is significant in predicting income. O The overall model is significant in predicting income; in a model including years of education and years of job experience, both are significant in predicting income. O The overall model is significant in predicting income, but neither of the independent variables are significant in predicting income. O The overall model is not significant in predicting income, and neither of the individual coefficients are significant in predicting income