False ,The presence of heteroskedasticity has no effect on the interpretation of goodness-of-fit measures.
In statistics, heteroskedasticity happens when the standard deviations of a variable, monitored over a specific amount of time, are nonconstant.
Assuming a variable is homoscedastic when it is heteroscedastic results in unbiased but inefficient point estimates, biased estimates of standard errors, and overestimation of goodness of fit as measured by the Pearson coefficient.
Plotting a graph of the residuals is one of the most common ways to test for heteroskedasticity. If a fan or cone shape appears in the residual plot, it indicates the presence of heteroskedasticity.
Hence, The interpretation of goodness of fit doesn't measures changes in the presence of heteroskedasticity.
Option (b) False is correct
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