The results below are based on the number of errors made in the accomplishment of a task as well as the number of weeks of training for a group of 12 employees. Assess whether the value of the correlation coefficient between these two variables is different from zero (alpha = 0.05). What percentage of the variance of the dependent variable is explained by the independent variable? How many errors should we expect from someone who has had 15 weeks of training? Summary of models standard error led Model R R-two Adjusted R-square the estimate 739 1546 500 3.239 has. Predictors (Constant), weeks ANOVA sum of Model squares dal medium square F Sig Regression 126.023 1 1 26.023 12.014 006 of Student. 104.894 10 10.489 Total 230.917 11 has. Dependent variable errors b. Predictors (Constant), weeksCoefficients" Standardized Non-standardized coefficients coefficients Error Model B standard Beta Sig. (Constant) 22.688 2.429 9.340 <.001 weeks .292 has. dependent variable errors>