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| Teaching Since: | May 2017 |
| Last Sign in: | 357 Weeks Ago |
| Questions Answered: | 20103 |
| Tutorials Posted: | 20155 |
MBA, PHD
Phoniex
Jul-2007 - Jun-2012
Corportae Manager
ChevronTexaco Corporation
Feb-2009 - Nov-2016
Question description
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·  20.19 Xr20-19 Plot the following time series to determine which of the trend models appears to fit better.
|
Period |
1 |
2 |
3 |
4 |
5 |
|
Time Series |
55 |
57 |
53 |
49 |
47 |
|
Period |
6 |
7 |
8 |
9 |
10 |
|
Time Series |
39 |
41 |
33 |
28 |
20 |
·  20.35 The following trend line and seasonal indexes were computed from 4 weeks of daily observations. Forecast the 7 values for next week. ŷ = 120 + 2.3t t = 1, 2, … , 28
|
Day |
Seasonal Index |
|
Sunday |
1.5 |
|
Monday |
.4 |
|
Tuesday |
.5 |
|
Wednesday |
.6 |
|
Thursday |
.7 |
|
Friday |
1.4 |
|
Saturday |
1.9 |
17.39Refer to Exercise 17.16. Calculate the correlation between the father's and the mother's years of education. Is there any sign of multicollinearity? Explain.
·  Perform the Durbin–Watson test at the 5% significance level to determine whether positive first-order autocorrelation exists when d = 1.10, n = 25, and k = 3.
·  17.42 Refer to Exercise 17.20.
o  a. Calculate the correlation matrix.
o  b. Are there signs of the presence of multicollinearity? Explain.
o  c. Test the correlation between each independent variable and the dependent variable. Which independent variables are linearly related to the dependent variable?
Hel-----------lo -----------Sir-----------/Ma-----------dam----------- T-----------han-----------k Y-----------ou -----------for----------- us-----------ing----------- ou-----------r w-----------ebs-----------ite----------- an-----------d a-----------cqu-----------isi-----------tio-----------n o-----------f m-----------y p-----------ost-----------ed -----------sol-----------uti-----------on.----------- Pl-----------eas-----------e p-----------ing----------- me----------- on----------- ch-----------at -----------I a-----------m o-----------nli-----------ne -----------or -----------inb-----------ox -----------me -----------a m-----------ess-----------age----------- I -----------wil-----------l