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Are these questions below true or false? I am stuck. I think 1 is true and 3 is false

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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