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1. (TCO 3) Using the following information regarding actual sales for Sams Ski Supplies, calculate the regression (trend) line: Sales for Sams Ski Supplies ($000s)

1. (TCO 3) Using the following information regarding actual sales for Sams Ski Supplies, calculate the regression (trend) line: 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 a) y = 264.92 + 2.79x b) y = 264.92 + 1.67x c) y = 283.64 + 2.79x d) y = 283.64 + 1.67x 2. (TCO 3) Using the following information regarding actual sales for Paradise Pools, project sales for May of Year 3 using simple linear regression: 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 a) 168.79 b) 174.52 c) 178.35 d) 180.26 3. (TCO 3) Using the following information regarding actual sales for Sams Ski Supplies, calculate the seasonal ratio for January of Year 3: Sales for Sams Ski Supplies ($000s) Month First Year Second Year January 380 400 February 340 360 March 320 330 April 280 290 May 265 270 June 230 235 July 220 230 August 200 205 September 210 220 October 250 270 November 400 450 December 450 502 a) 1.18 b) 1.32 c) 1.40 d) 1.55 4. (TCO 3) Using the following information regarding actual sales for Seafood City, calculate the seasonal forecast of sales for Friday of Week 3: Sales for Seafood City ($) 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 a) 2,822.29 b) 3,006.17 c) 4,300.00 d) 5,614.30

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