### Working with Regression Analysis

When every variables are ready to be put into some software machines to be analysed, and the formula for the relations to be spit out, it is always tempting to believe that the answer is correct. But it isn't? We need human intelligence and analyses to come to the right result.

Similar things happen when you are making linear models through regressions. As, I have written earlier, the choice of variable is very important. So how do we insure that the resultant choices made are justified. It is always easy to come to result but harder to justify.

Lets look at some examples:

The above graph is the graph of a Revolving Value (Revolving Balance). This is the variable very important for the Bankers. Therefore, it will be interesting for them to know before hand the value of the Revolving Balance.

There are many variables to be included for the analysis and modeling. By following the rules and methods mentioned in my previous blogs, I have constructed an initial model. Using that model, I have predicted the values. lets look at it below.

Remarkable!! The predicted lines, which is the red one, seems to follow the real line. But, this analysis in itself is insufficient to prove the validity of the model. We need to look at it sown the line further. Just for the case, the R-square Value for this model was around 0.98!

Graph of Error Versus the Revolving Value

Here, we are trying to look at the relationship of error and the real value. But why??

The error is by nature defined to be RANDOM and having zero correlation with any variable. Therefore, the error must not be predictable. In this figure, we see that the error is vibrating between the zero value with higher bias to the negative side. Hence, we have a line drawn to best fit the plots. Ideally, this line must pass through the zero line. The line seems to have deviated to -30 below. This must be reduced to have a better result. This analysis of error with time is necessary, as error are RANDOM.

Graph of Error Versus Time

This above graph is also almost the same as with the previous one, except the error is related to the real value. It seems the model was not able to predict the higher values with accuracy. Something must be done here. But What?? May be reduce the variables or validate the raw data to conform that there is no error in the data. Also, we can ignore this particular value.But BE CAREFUL, it might have a significance.

These kinds of analysis speaks about the model that you are building.

Just to show that there are many ways to analyses the error, I am posting another graph.

OK, don't worry about the figure. Actually its quite simple. The linear graph with the time has been folded to make the a circle.

In idealistic situation, the plot should be a perfect circle at Zero line. In good and realistic model, the figure must still be circle but with certain constant thickness. In this case it is neither.

Last thing, there is one important graph to check the randomness of your error and it is done by plotting the histogram of the error. The plot must match the Normal Distribution Curve.

The curve above shows that the mean of the error is ZERO, which is good. But the biasness to the negative side has to be taken care of.

Therefore, in this way we can analyse the model being constructed and keep tinker until a better one is obtained.

### Selling a Comb to a Bald Person?

Here my friend, Ashay, put it very truly to me that the marketer's most challenge is to sell a comb to a bald. First, I am not trying to justify anything here. But I just couldn't help thinking how on earth am I going to sell a comb to a bald. How? Just how? I kept pondering upon it till late night. I actually had very few options with me, the first was obviously to use Google and Find? :) But, I didn't do that. Some how I was still in confusion. Then just before going to sleep, I had an discussion with my other friend, on types of marketing on issues related to customer centric marketing. Hmm. Then some how it hit me. I went back to basic on my own philosophy, sell things that is needed. So here is a small anecdote I prepared : Sale Person   : Hello sir. How are you? Do you have a time, plzzz? Bald Person : (Almost confused and in social causality) OK OK what is it? I don't have time. Sale Person    : Here sir, do you want to by a comb?  Bald Person  : Can't you

### Robert Sapolsky: The uniqueness of humans | Video on TED.com

Robert Sapolsky: The uniqueness of humans | Video on TED.com

### Fearful Consumer Market

Consumer market is something, I always feared. During my engineering days, I knew it was one area where I would not find myself working. I always feared the harsh competition of the market. I worried if ever, anything I made would sustain in the market. Or how people would react to it? You can say, I feared criticism and all the yap yap of group of people, who knows only how to suggest but not to act. Thus, I kept my interest into custom projects and not related to anything that a single consumer would use, rather it was something of community service. But with changing time, I knew I had to make a plunge into the ocean of consumer market and face the competition. "Be a man! Dude" That is what I would say to myself. I knew I couldn't swim, but I had to give it a try.  Journey into the consumer market is like that of 20000 Leagues Under The Sea . There are so many different kinds of creatures around to look and be fascinated. Some are small living in tiny groups. Some are