Regression Analysis

We had to give a presentation today on Regression Analysis of real-world data. Regression is all about comparing the relation between a dependent variable and one or more independent variables. The higher the number of independent variables, the better is the correlation. There will be a Standard Error that will be factored in to reduce the impact of non-related variables on the correlation.( i hope i have understood these things correctly, lol:-) )

All the groups did well. Our group gave a presentation on the major factors that influence the B-school rankings. We pooled in data from Business World's cosmode rankings and Outlook's rankings for the year 2005. We found that Placements, Admissions and Networking were the 3 major factors that influenced the rankings upto about 83%!!

One of the groups gave a presentation on Google Adsense which could be useful to many of the bloggers.
Another group came up with a presentation on what makes people choose a particular brand of BEER in KERALA:-)...interesting eh? 'Availability' of the brand easily was the major factor that influenced the people who responded it seems. The top 3 brands were:

KingFisher - USP (Advertising, Availability, Price)
Fosters - USP (Brand Image, Stylish, Taste)
Haywards - USP (Alcohol Content)

But midst all these, the presenter wooed all of us by this extempore sher:

Woh gulab bhi kaisa gulab jo mehektha nahi,
Woh sharab bhi kaisa sharab jo behektha nahi!!

Well, thats some gyan i guess. U see, people have fun at B-schools too, Cheers :-)