1.What formulas should be used in Excel? 2. What is t? What is w? To use all three models: M1: d = 1.0356t + 339.29 M2: d= 7163t + 116.7679w + 315.0262 M3: (the one considering weekdays) to predict the demand for seven days ahead (Mon, Tue, …, Sun) and find the total weekly demand. M1 M2 M3 Mon. Tue. Wed. Thu. Fri. Sat. Sun. TOTAL:
1.What formulas should be used in Excel? 2. What is t? What is w? To use all three models: M1: d = 1.0356t + 339.29 M2: d= 7163t + 116.7679w + 315.0262 M3: (the one considering weekdays) to predict the demand for seven days ahead (Mon, Tue, …, Sun) and find the total weekly demand. M1 M2 M3 Mon. Tue. Wed. Thu. Fri. Sat. Sun. TOTAL:
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
1.What formulas should be used in Excel?
2. What is t? What is w?
To use all three models:
- M1: d = 1.0356t + 339.29
- M2: d= 7163t + 116.7679w + 315.0262
- M3: (the one considering weekdays)
to predict the demand for seven days ahead (Mon, Tue, …, Sun) and find the total weekly demand.
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Tue. |
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Wed. |
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Thu. |
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Fri. |
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Sat. |
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Sun. |
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TOTAL: |
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****I added the part i already completed for context in the photos****
Transcribed Image Text:SUMMARY OUTPUT
Regression Statistics
Multiple R 0.97863179
R Square 0.95772018
Adjusted R S 0.95254306
Standard Err 13.3334666
Observations
ANOVA
Regression
Residual
Total
Intercept
Day
Monday
Tuesday
Wednesday
Thursday
Friday
df
56
SS
MS
F
Significance F
6 197327.554 32887.9257 184.990883 6.8077E-32
49 8711.28529 177.781332
55 206038.839
t Stat
P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%
Coefficients Standard Erro
434.714816 4.79244557 90.708347 3.0045E-56 425.084036 444.345596 425.084036 444.345596
0.62210271 0.11107366 5.6008121 9.5851E-07 0.39889183 0.84531359 0.39889183 0.84531359
-149.20344 5.80579064 -25.699073 4.2842E-30 -160.87061 -137.53626 -160.87061 -137.53626
-136.07554 5.79515585 -23.480911 2.5775E-28 -147.72134 -124.42974 -147.72134 -124.42974
-109.07264 5.78663395 -18.849065 4.2405E-24 -120.70132 -97.443964 -120.70132 -97.443964
-118.44474 5.78023428 -20.49134 1.1119E-25 -130.06056 -106.82893 -130.06056 -106.82893
-72.691846 5.77596389 -12.585232 5.7433E-17 -84.29908 -61.084612 -84.29908 -61.084612
Transcribed Image Text:Day
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
Monday Tuesday Wednesda Thursday Friday
1
0
0
0
0
0
0
1
0
0
0
0
0
0
1
0
0
0
0
0
0
1
0
0
0
0
0
0
1
0
0
0
0
0
0
1
0
0
0
0
0
0
1
0
0
0
0
0
0
1
0
0
0
0
0
0
0
1
0
0
0
0
0
0
1
0
0
0
0
0
0
1
0
0
0
0
0
0
1
0
0
0
0
0
0
1
0
0
0
0
0
0
1
0
0
0
0
0
0
1
0
0
0
0
0
0
1
0
0
0
0
0
0
0
1
0
0
0
0
0
0
1
0
0
0
0
0
0
1
0
0
0
0
0
0
1
0
0
0
0
0
0
1
0
0
0
0
0
0
1
0
0
0
0
0
0
1
0
0
0
0
0
0
1
0
0
0
0
0
0
0
1
0
0
0
0
0
0
1
0
0
0
0
0
0
1
0
0
0
0
0
0
1
0
0
0
0
0
0
1
0
0
0
0
0
0
1
0
0
0
0
0
0
1
0
0
0
0
0
0
1
0
0
0
0
0
0
0
1
0
0
0
0
0
0
1
0
0
0
0
0
0
1
0
0
0
0
0
0
1
0
0
0
0
0
0
1
0
0
0
0
0
0
1
0
0
0
0
0
0
1
0
0
0
0
0
0
1
0
0
Daily Demand
297
293
327
315
348
447
431
283
326
317
345
355
428
454
305
310
350
308
366
460
427
291
325
354
322
405
442
454
318
298
355
355
374
447
463
291
319
333
339
416
475
459
319
326
356
340
395
465
453
307
324
350
348
384
474
485
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