Consider the Excel output below, which presents quarterly motor car sales data that were collected over the past four years and required to predict sales for the next year in an automotive company. t Data CMA y/CMA SF d Tr yhat cl x ir Cl 1 293 1.191 245.9 240.5 286.5 1.023 2 392 1.521 257.7 260.4 396.2 0.989 0.998 3 221 275.13 0.803 0.804 275.0 280.4 225.3 0.981 0.994 4 147 302.00 0.487 0.484 303.9 300.3 145.3 1.012 1.003 5 388 325.25 1.193 1.191 325.7 320.3 381.6 1.017 1.006 6 512 338.13 1.514 1.521 336.6 340.2 517.6 0.989 0.999 7 287 354.13 0.810 0.804 357.1 360.2 289.4 0.992 0.994 8 184 381.50 0.482 0.484 380.4 380.1 183.9 1.001 0.999 9 479 405.00 1.183 1.191 402.0 400.1 476.7 1.005 1.002 10 640 417.38 1.533 1.521 420.7 420.0 639 1.002 0.996 11 347 435.00 0.798 0.804 431.8 440.0 353.6 0.981 0.995 12 223 462.13 0.483 0.484 461.0 459.9 222.5 1.002 1.000 13 581 484.38 1.199 1.191 487.7 479.9 571.7 1.016 1.004 14 755 497.63 1.517 1.521 496.3 499.8 760.4 0.993 0.997 15 410 0.804 510.2 519.8 417.7 0.982 0.998 16 266 0.484 549.9 539.7 261.1 1.019 Forecasts 17 667 18 882 Intercept 220.5389 3.038533 72.58073 1.98E-19 19 482 X Variable 19.9499 0.314238 63.48667 1.25E-18 20 300 3 (a) Analyze the output in detail, and based on the trend, explain what you believe is the future outlook of this business?