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Multiple regressions and variables

Discussion of multiple regression with the topics from Dielman Terry 'Applied Regression Analysis' - A 2nd course in Bus. and Economic Statistics.

Topics (title of chapters) to cover:
- Multiple regression analysis
- Fitting curves to data
- Assessing the assumptions of the regression model
- Using indicator and interaction variables
- Variable selection

Here is the source of my data:
Data set:


1. Will not be using the last variable (year) as there is no connection to the project. Focus on the multiple regression that focuses only on one scenario: professor did ONE experiment (in the description of the first paragraph). I will not use the modified experiment so I will not need the year. Is this correct?

2. There are 5 qualitative variable, is it ok to have so many for the regression for the project? Since multiple regression will not be used, is the data source adequate?

Solution Preview

1. After I read the description of the data, I understood that the professor collected these data from classes in several different years (1993-1998), and that the professor's method of collecting the data changed in the years 1995-1998. If you want to analyze the entire data set (all years), I think it would be important to ...

Solution Summary

The solution regarding multiple regressions and which variables are appropriate to use. The assumption of the regression models are determined.