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January 29th, 2013, 05:52 AM   #1
Joined: Oct 2012

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Regression Analysis of Survey Data

Dear Forum users,

I want to test for dependence between two data sets:

X = data set 1, Y = data set 2

Each data set contains 1000 values with discrete values in the set [1,2,...,10].
The value 1 represents "strongly disagrees" and 10 represents "strongly agrees".

When i perform linear regression, the coefficient of the resulting line is 0.8. I interpret this as a dependence between the two sets.

1. Previously i have only performed regression analysis using continuous data, therefore I am a bit uncertain if what I am doing is OK - basically I
am treating the discrete data as if it were continuous data. Is that OK?

2. I also want to use the regression as a predictor. E.g. given a new x value in the set X, I want to predict the associated y variable. However, since i use
simple regression analysis the new y-value can attain a continuous value (e.g. 5.4) which is clearly not a valid value. Should i round this value down to 5?
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