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 ($)
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

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.

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