SIC Code No. Emp. No. Prod. Wkrs. Value Added by Mfg. ...
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Finance
SIC Code
No. Emp.
No. Prod. Wkrs.
Value Added by Mfg.
Cost of Materials
Value of Indus. Shipmnts
New Cap. Exp.
End Yr. Inven.
Indus. Grp.
201
433
370
23518
78713
4
1833
3630
1
202
131
83
15724
42774
4
1056
3157
1
203
204
169
24506
27222
4
1405
8732
1
204
100
70
21667
37040
4
1912
3407
1
205
220
137
20712
12030
4
1006
1155
1
206
89
69
12640
13674
3
873
3613
1
207
26
18
4258
19130
3
487
1946
1
208
143
72
35210
33521
4
2011
7199
1
209
171
126
20548
19612
4
1135
3135
1
211
21
15
23442
5557
3
605
5506
2
212
3
2
287
163
1
2
42
2
213
2
2
1508
314
1
15
155
2
214
6
4
624
2622
1
27
554
2
221
52
47
2471
4219
2
292
929
3
QUESTION 7 Use the International Stock Market database from "Excel Databases.xls" on Blackboard. Use Excel to develop a multiple regression model to predict the Nikkei by the DJIA, the Nasdaq, the S&P 500, the Hang Seng, the FTSE 100, and the IPC. Assume a 1% level of significance. What percent of residuals are within 1 standard error? Write your answer as a number rounded to 1 decimal place. Do not include the % sign in your answer. QUESTION 7 Use the International Stock Market database from "Excel Databases.xls" on Blackboard. Use Excel to develop a multiple regression model to predict the Nikkei by the DJIA, the Nasdaq, the S&P 500, the Hang Seng, the FTSE 100, and the IPC. Assume a 1% level of significance. What percent of residuals are within 1 standard error? Write your answer as a number rounded to 1 decimal place. Do not include the % sign in your
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