Statistics questions

1.What is the adjusted r-squared statistic?
2.What is multicollinearity?
3.What is the difference between regression analysis and discriminant analysis?
4.Discuss the advantages of exponential smoothing over moving averages.
5.Discuss the two different types of seasonal effects in time series data.
6.What characteristics should a model possess in order for simulation to be used?
7.Discuss the general shape of waiting cost, service cost, and total cost curves in waiting line models.
8.In project management, why isn’t the completion time for a project defined by the shortest path through the network?
9.What is the purpose of decision analysis?
10.Describe the analytical hierarchy process.