Problem 5. Multiple regression analysis was used to study how an individual's income (y in thousands of dollars) is influenced by age (x1 in years), level of education (X2 ranging from 1 to 5), and the individual's gender (x3 where 0 - female and 1 - male). The following is a partial result of a computer program that was used on a sample of 20 individuals. Coefficients Standard Error x 1 0.625 0.094 0.921 0.190 *3 -0.510 0.920 ANOVA df SS MS F Regression 84 Error 112 QUESTION 27 Problem 5 Question 5-2. Perform at test and determine whether or not the coofficient of 'level of education" (x2) is significantly different from zero. Leta=0.05, what is the test statistic? QUESTION 28 Problem 5. Question 5-3. Perform at test and determine whether or not the coefficient of "level of education" (x2) is significantly different from zero. Let or=0.05, what is your conclusion of the test result? Reject null hypothesis Fail to reject null hypothesis Reject alternative hypothesis Fail to reject alternative hypothesis