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# Budgeting and Forecasting Question

1. (TCO 3) Using the following information regarding actual sales for Seafood City, calculate the regression (trend) line:

Sales for Seafood City (\$)

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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

(Points : 4)

y = 2,092.31. + 81.98x

y = 2,092.31 + 121.98x

y = 1,892.31 + 81.98x

y = 1,892.31 + 81.98x

Question 2.

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

(Points : 4)

168.79

174.52

178.35

180.26

Question 3.

3. (TCO 3) Using the following information regarding actual sales for Paradise Pools, calculate the seasonal ratio for June of Year 3:

 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

(Points : 4)

0.67

0.77

1.08

1.41

Question 4.

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

(Points : 4)

2,822.29

3,006.17

4,300.00

5,614.30

 Question 5. 5. (TCO 3) The regression statistic that measures the accuracy of regression predictions is the: (Points : 4)

correlation coefficient.

coefficient of determination.

standard error of the estimate.

t-statistic.