Wednesday, 23 January 2013

Business Application IT Lab


IT Business Application lab Assignment#3

Session 3
Date: 22nd jan,2013

Assignment 1A
Based on the groove and mileage data: mileage is affected by groove.
Fit lm and comment on the applicability of lm
Plot 
      a) Res vs independent variable
      b) Sres vs Independent variable
      c) qqplot and add a qqline.


Solution:





As the residual plot is not a random but shows somewhat a parabolic pattern so it can be stated that linear model is not applicable in the case.

Assignment 1B
Based on alpha pluto data: pluto is dependent variable and alpha is the independent variable.
Fit lm and comment on the applicability of lm
      a) Plot Res vs independent variable

Output:


b) Plot Sres vs independent variable

Output:


Since the above plot does not show any pattern and random in nature so we can safely apply the linear model.

c) qqplot and qqline

Output:



Assignment 2

Based on the chair type and comfort level data: Determine whether the comfort level given by all the types of chairs are same using the ANOVA technique.


Output:


As seen from the solution the p value comes out to be 0.687,which is greater than 5%,our confidence interval of 95%.So we can not reject the null hypothesis.

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