Calculate the 3 yearly and 5 yearly moving averages for the following time series :
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- Rate 528 715 366 391 815 527 441 976 588 278 559 686 604 498 947 1026 515 474 728 796 493 526 919 1122 304 519 559 453 438 236 176 454 661 361 226 478 381 698 351 157 347 428 554 332 610 279 237 796 365 998 618 523 491 380 804 758 1153 674 731 553 422 552 645 506 480 843 683 682 581 601 493 372 613 836 390 1053 816 936 152 444 695 597 430 920 607 996 452 506 376 282Rate 528 715 366 391 815 527 441 976 588 278 559 686 604 498 947 1026 515 474 728 796 493 526 919 1122 304 519 559 453 438 236 176 454 661 361 226 478 381 698 351 157 347 428 554 332 610 279 237 796 365 998 618 523 491 380 804 758 1153 674 731 553 422 552 645 506 480 843 683 682 581 601 493 372 613 836 390 1053 816 936 152 444 695 597 430 920 607 996 452 506 376 282Rate 528 715 366 391 815 527 441 976 588 278 559 686 604 498 947 1026 515 474 728 796 493 526 919 1122 304 519 559 453 438 236 176 454 661 361 226 478 381 698 351 157 347 428 554 332 610 279 237 796 365 998 618 523 491 380 804 758 1153 674 731 553 422 552 645 506 480 843 683 682 581 601 493 372 613 836 390 1053 816 936 152 444 695 597 430 920 607 996 452 506 376 282
- Rate 528 715 366 391 815 527 441 976 588 278 559 686 604 498 947 1026 515 474 728 796 493 526 919 1122 304 519 559 453 438 236 176 454 661 361 226 478 381 698 351 157 347 428 554 332 610 279 237 796 365 998 618 523 491 380 804 758 1153 674 731 553 422 552 645 506 480 843 683 682 581 601 493 372 613 836 390 1053 816 936 152 444 695 597 430 920 607 996 452 506 376 282Rate 528 715 366 391 815 527 441 976 588 278 559 686 604 498 947 1026 515 474 728 796 493 526 919 1122 304 519 559 453 438 236 176 454 661 361 226 478 381 698 351 157 347 428 554 332 610 279 237 796 365 998 618 523 491 380 804 758 1153 674 731 553 422 552 645 506 480 843 683 682 581 601 493 372 613 836 390 1053 816 936 152 444 695 597 430 920 607 996 452 506 376 282Rate 528 715 366 391 815 527 441 976 588 278 559 686 604 498 947 1026 515 474 728 796 493 526 919 1122 304 519 559 453 438 236 176 454 661 361 226 478 381 698 351 157 347 428 554 332 610 279 237 796 365 998 618 523 491 380 804 758 1153 674 731 553 422 552 645 506 480 843 683 682 581 601 493 372 613 836 390 1053 816 936 152 444 695 597 430 920 607 996 452 506 376 282
- Rate 528 715 366 391 815 527 441 976 588 278 559 686 604 498 947 1026 515 474 728 796 493 526 919 1122 304 519 559 453 438 236 176 454 661 361 226 478 381 698 351 157 347 428 554 332 610 279 237 796 365 998 618 523 491 380 804 758 1153 674 731 553 422 552 645 506 480 843 683 682 581 601 493 372 613 836 390 1053 816 936 152 444 695 597 430 920 607 996 452 506 376 282Rate 528 715 366 391 815 527 441 976 588 278 559 686 604 498 947 1026 515 474 728 796 493 526 919 1122 304 519 559 453 438 236 176 454 661 361 226 478 381 698 351 157 347 428 554 332 610 279 237 796 365 998 618 523 491 380 804 758 1153 674 731 553 422 552 645 506 480 843 683 682 581 601 493 372 613 836 390 1053 816 936 152 444 695 597 430 920 607 996 452 506 376 282Rate 528 715 366 391 815 527 441 976 588 278 559 686 604 498 947 1026 515 474 728 796 493 526 919 1122 304 519 559 453 438 236 176 454 661 361 226 478 381 698 351 157 347 428 554 332 610 279 237 796 365 998 618 523 491 380 804 758 1153 674 731 553 422 552 645 506 480 843 683 682 581 601 493 372 613 836 390 1053 816 936 152 444 695 597 430 920 607 996 452 506 376 282
- Rate 528 715 366 391 815 527 441 976 588 278 559 686 604 498 947 1026 515 474 728 796 493 526 919 1122 304 519 559 453 438 236 176 454 661 361 226 478 381 698 351 157 347 428 554 332 610 279 237 796 365 998 618 523 491 380 804 758 1153 674 731 553 422 552 645 506 480 843 683 682 581 601 493 372 613 836 390 1053 816 936 152 444 695 597 430 920 607 996 452 506 376 282Rate 528 715 366 391 815 527 441 976 588 278 559 686 604 498 947 1026 515 474 728 796 493 526 919 1122 304 519 559 453 438 236 176 454 661 361 226 478 381 698 351 157 347 428 554 332 610 279 237 796 365 998 618 523 491 380 804 758 1153 674 731 553 422 552 645 506 480 843 683 682 581 601 493 372 613 836 390 1053 816 936 152 444 695 597 430 920 607 996 452 506 376 282The following table shows the square footage of houses in an area that sold recently along with the selling price. Sq. Ft. Price 2096, 295000, 3160, 338000, 2320, 265000, 3150, 365000, 2760, 330000, 3650, 412000, 2125, 320000, 3085, 342000, 4750, 485000, 2100, 320000, 3100, 316000, 2240, 321000, 3300, 347000, 2800, 350000, 2825, 330000, 3275, 420000 1. Find the equation of the regression line (line of best fit). 2. Determine if there is a strong linear correlation. 3. If there is a strong linear correlation predict the selling price of a 3333 sq. ft. home
