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Suppose that the normal regression model (2.1) isapplicable exceptthat the error variance is not constant; rather the variance increases as the values of X increase.
Suppose that the normal regression model (2.1) isapplicable exceptthat the error variance is not constant; rather the variance increases as the values of X increase. Does1 = 0 still imply that there is no linear association between X and Y? Does1=0 imply that there is no association between X and Y? Discuss and Explain.
Regression Model (2.1) when 1 = 0.
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