Question 1. 1. (TCO 3) Using the following information regarding actual sales for Seafood City, calculate the regression (trend) line: Sales for Seafood City ($) | Day | Week 1 | Week 2 | Monday | 1,700 | 1,800 | Tuesday | 1,900 | 2,000 | Wednesday | 2,100 | 2,100 | Thursday | 2,300 | 2,200 | Friday | 4,200 | 4,300 | Saturday | 4,400 | 4,600 | Sunday | 2,100 | 2,200 | (Points : 4) | y = 2,092.31. + 81.98x y = 2,092.31 + 121.98x y = 1,892.31 + 81.98x y = 1,892.31 + 81.98x | Question 2. 2. (TCO 3) Using the following information regarding actual sales for Sams Ski Supplies, project sales for March of Year 3 using simple linear regression: Sales for Sams Ski Supplies ($000s) | Month | First Year | Second Year | January | 380 | 400 | February | 340 | 360 | March | 320 | 330 | April | 280 | 290 | May | 265 | 270 | June | 230 | 235 | July | 220 | 230 | August | 200 | 205 | September | 210 | 220 | October | 250 | 270 | November | 400 | 450 | December | 450 | 502 | (Points : 4) | 308.62 326.94 328.61 330.28 | Question 3. 3. (TCO 3) Using the following information regarding actual sales for Paradise Pools, calculate the seasonal ratio for June of Year 3: Sales for Paradise Pools ($000s) | Month | First Year | Second Year | January | 84 | 84 | February | 80 | 82 | March | 88 | 98 | April | 100 | 120 | May | 150 | 160 | June | 200 | 210 | July | 240 | 250 | August | 220 | 215 | September | 180 | 195 | October | 160 | 165 | November | 120 | 130 | December | 92 | 100 | (Points : 4) | 0.67 0.77 1.08 1.41 | Question 4. 4. (TCO 3) Using the following information regarding actual sales for Sams Ski Supplies, calculate the seasonal forecast of sales for November of Year 3: Sales for Sams Ski Supplies ($000s) | Month | First Year | Second Year | January | 380 | 400 | February | 340 | 360 | March | 320 | 330 | April | 280 | 290 | May | 265 | 270 | June | 230 | 235 | July | 220 | 230 | August | 200 | 205 | September | 210 | 220 | October | 250 | 270 | November | 400 | 450 | December | 450 | 502 | (Points : 4) | 400 450 465 521 | Question 5. 5. (TCO 3) The regression statistic that measures the accuracy of regression predictions is the: (Points : 4) | correlation coefficient. coefficient of determination. standard error of the estimate. t-statistic. | |