The sales manager at a home appliance store wants to predict an employee's weekly sales revenues ($ thousand) based on the number of years of experience the employee has working for the company. The following linear regression results were obtained using recent sales data for 14 different employees. SUMMARY OUTPUT Regression Statistics Multiple R 0.80 R Square 0.64 Adjusted R Square 0.61 Standard Error 11.76 Observations 14 Coefficients Std Error t Stat p-value Intercept 5.1 6.63 0.77 0.46 Experience 6.51 1.41 4.62 0.0006 Consider the null hypothesis that the intercept Bo = 0 against the alternate hypothesis that Bo # 0 Among the following five significance levels, the lowest significance level at which the null hypothesis can be rejected is: O 0.005 O 0.01 O 0.05 O 0.1 O 0.5