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2. In a mountainous tourist destination, a lady sells slippers. Her assistant recorded monthly sales. She then checked the record in the Tourist Community Center, which the record shows on the table below: Year 1 Month Mar Apr Jan Feb 525 436 458 485 May Jun 467 402 388 364 351 Oct Nov Dec 348 412 501 Jul Aug Sep Sales (pairs of slippers) No. of tourists 1253 957 1116 1320 1101 963 | 812 | 798 764 745 812 1201 Year 2 Month Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Sales 533 443 469 | 492 483 | 410 392 374 371 358 426 517 (pairs of slippers) No. of | 1263 1008 1122 1334 1111 973 824 812 783 787 833 1215 tourists

2. In a mountainous tourist destination, a lady sells slippers. Her assistant recorded monthly sales. She then checked the record in the Tourist Community Center, which the record shows on the table below: Year 1 Month Mar Apr Jan Feb 525 436 458 485 May Jun 467 402 388 364 351 Oct Nov Dec 348 412 501 Jul Aug Sep Sales (pairs of slippers) No. of tourists 1253 957 1116 1320 1101 963 | 812 | 798 764 745 812 1201 Year 2 Month Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Sales 533 443 469 | 492 483 | 410 392 374 371 358 426 517 (pairs of slippers) No. of | 1263 1008 1122 1334 1111 973 824 812 783 787 833 1215 tourists

Algebra & Trigonometry with Analytic Geometry
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter7: Analytic Trigonometry
Section7.3: The Addition And Subtraction Formulas
Problem 79E
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Year 3 Month Feb Apr 498 May 495 Aug Sep Jan Mar Jun Jul Oct Nov Dec Sales 548 468 482 422 401 386 387 378 436 531 (pairs of slippers) No. of 1279 1021 1136 1332 1121 984 822 811 794 785 842 1219 | tourists a. Determine the correlation coefficient between the number of periods and the sales. Is time series a good method of predicting the monthly sales for year 4? b. Determine the correlation coefficient between the sales and the number of tourists in the area. Is a linear regression a good method to predict the sales for a month? Use seasonal forecasting to determine the sales if there are 1500 tourist in the area. d. Which of the methods mentioned above gives the most accurate forecast? С.
Transcribed Image Text:Year 3 Month Feb Apr 498 May 495 Aug Sep Jan Mar Jun Jul Oct Nov Dec Sales 548 468 482 422 401 386 387 378 436 531 (pairs of slippers) No. of 1279 1021 1136 1332 1121 984 822 811 794 785 842 1219 | tourists a. Determine the correlation coefficient between the number of periods and the sales. Is time series a good method of predicting the monthly sales for year 4? b. Determine the correlation coefficient between the sales and the number of tourists in the area. Is a linear regression a good method to predict the sales for a month? Use seasonal forecasting to determine the sales if there are 1500 tourist in the area. d. Which of the methods mentioned above gives the most accurate forecast? С.
2. In a mountainous tourist destination, a lady sells slippers. Her assistant recorded monthly sales. She then checked the record in the Tourist Community Center, which the record shows on the table below: Year 1 Month Sales Feb Jul Aug 388 364 Jan Mar Apr May Jun Oct Nov Sep 351 348 Dec 525 436 458 485 467 402 412 501 (pairs of slippers) No. of 1253 957 1116 1320 1101 963 812 798 764 745 812 1201 tourists Year 2 Month Jan Feb Mar Apr May Jun Jul Oct Aug Sep 392 374 371 358 Nov Dec Sales 533 443 469 492 483 410 426 517 (pairs of slippers) No. of tourists 1263 1008 1122 1334 1111| 973 824 812 783 787 833 1215
Transcribed Image Text:2. In a mountainous tourist destination, a lady sells slippers. Her assistant recorded monthly sales. She then checked the record in the Tourist Community Center, which the record shows on the table below: Year 1 Month Sales Feb Jul Aug 388 364 Jan Mar Apr May Jun Oct Nov Sep 351 348 Dec 525 436 458 485 467 402 412 501 (pairs of slippers) No. of 1253 957 1116 1320 1101 963 812 798 764 745 812 1201 tourists Year 2 Month Jan Feb Mar Apr May Jun Jul Oct Aug Sep 392 374 371 358 Nov Dec Sales 533 443 469 492 483 410 426 517 (pairs of slippers) No. of tourists 1263 1008 1122 1334 1111| 973 824 812 783 787 833 1215
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