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January 30, 2015

January 30, 2015

Posted by **Logan** on Monday, November 29, 2010 at 3:13pm.

1. In Regression Analysis if the variance of the error term is constant, we call it the Homoscedasticity property.

2. In simple linear regression analysis, if the error terms exhibit a positive or negative autocorrelation over time, then the assumption of constant variance is violated.

3. The expected value of the error term changes from observation to observation.

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