This method is least squares method to forecast year 2006. What can be its advantages to the company based on the results below? Knowing that the results is increasing. How will this method help a cellphone-producing company?

Month 2003 2004 2005 x2 480 575 608 1 1 608 608 2 4 597 1194 436 482 448 527 540 597 612 3 9 612 1836 Forecast for 2006 601.49 602.91 604.34 605.77 607.19 608.62 610.05 611.47 502 603 4 16 603 2412 458 508 628 5 25 628 3140 489 573 605 6 36 605 January February March April May June July August September October November December 3630 498 508 627 7 49 627 4389 430 498 578 8 64 578 4624 444 485 585 9 81 585 5265 612.90 496 526 581 10 100 581 5810 614.33 615.75 487 552 632 11 121 632 6952 525 587 656 12 144 656 7872 617.18 78 650 7312 47732 X 6.5 609.3333333 b 1.426573427 a 600.0606061 =600.06+1.4266x