Budgeting and Forecasting Question |

Explain why teeth should NOT be considered bone. What structural features and functions of bone are clearly not displayed in teeth (think about the…
October 7, 2020
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October 7, 2020

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

  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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