Refer to the Website developer data set in Appendix C.6 and Case Study 9.29. The observations are listed in time order. Using the model developed in Case Study 9.29. test whether or not positive autocorrelation is present: use α = .01. If autocorrelation is present. revise model and analysis as needed.
Case Study 9.29
Refer to the Website developer data set in Appendix C6. Management is increased in determining what variables have the greatest impact on production output in the release of new manager, a designer and a developer are provided in the data set. Production data from January 2001 through August 2002 include four potential predictors (1) the change in the website development process (2) the size of the backlog of orders,(3) the team effect, and (4) the number of months experience of each team. Develop a best subset model for predicting production output. Justify your choice of model. Assess your model's ability of predict and discuss its use as a tool fro management decisions.
Appendix C6
Management of a company that develops websites was interested in determining which variables have the greatest impact on the number of websites developed and delivered to customers per quarter. Data were collected on website production output for 13 three-person website development teams, from January 2001 through August 2002. Each line of the data
set has an identification number and provides information on 6 other variables for thirteen teams over time. The 8 variables are:
