USE EXAMPLE 4.4 ON PAGE 163 OF THE TEXTBOOK AS A GUIDE. A set of data points and the equations of two lines are given. For each line, determine . Then, determine which line fits the set of data points better, according to the least-squares criterion. Line A: y = 1 + 0.9x Line B: y = 0.8 + 1.1x 1. ___Line A: = 1.31 2. ___Line B: = 1.57 3.____Line B fits the set of data points better. 4. ____Line A: = 0.57 5. ____Line B: = 1.49 5. ____Line A fits the set of data points better. 6. ___Line A: = 0.57 7. ___Line B: = 1.49 8.___Line B fits the set of data points better. 9. ___Line A: = 1.31 10. ___Line B: = 1.57 11. ___Line A fits the set of data points better. USE EXCEL to Determine the regression equation for the data. Round the final values to three significant digits, if necessary. Managers rate employees according to job performance (x) and attitude (y). The results for several randomly selected employees are given below. = 11.7 + 1.02x = 2.81 + 1.35x = -47.3 + 2.02x = 92.3 - 0.669x USE EXCEL to compute the coefficient of determination. Round your answer to four decimal places. The cost of advertising (x), in thousands of dollars, and the number of products sold (y), in thousands, for eight randomly selected product lines are shown below. The regression equation is . 0.5009 -0.0707 0.2353 0.7077 USE EXCEL to obtain the linear correlation coefficient for the data. Round your answer to three decimal places. 0.507 - 0.775 0.754 -0.081