In this type of analysis, a time series is modeled to determine its components in terms of seasonal patterns, trends, relation to external factors etc. these can then be used for decision making and policy formulation. 1. predictive modeling 2. descriptive modeling 3. time series forecasting 4 all of the above

Create a console project in c#. 1. create an interface "imyinterface.cs" - add a method "string imessage()" 2. create a class named "c1.cs" - add 4 private data members, create property for each data member double loanamnout=0.0; double years=0.0; double interests=0.0; double interestrate=0.0; 3. - add a constructor with parameters to assign values to loanamnout, years, interestrate with values that user entered. 4. - add one method “payinterests()” to return the interests interests = loanamnout * interestrate * years 5. - inheritate "imyinterface", implement the method " imessage()", return string "be ready! ” 6. in program.cs, have users to enter loanamnout, years, interestrate. - call method payinterests() to display total interests. - call imessage() to display "be ready! ”