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.

Name: 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.
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When error terms exhibit a positive or negative autocorrelation over time, the assumption of independence is violated.

In Simple Linear Regression Analysis, If the Error Terms Exhibit