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If the overall impact of deterministic part is less than the overall impact of random part in the regression equation then it means that the quality of predictions from such a regression will be efficient.a.Falseb.True

Question

If the overall impact of deterministic part is less than the overall impact of random part in the regression equation then it means that the quality of predictions from such a regression will be efficient.a.Falseb.True

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Solution 1

The statement is False. If the overall impact of the deterministic part is less than the overall impact of the random part in the regression equation, it means that the model is not explaining much of the variability in the data. This would lead to poor quality predictions, not efficient ones. The deterministic part of the regression equation is what we use to make predictions, so if its impact is less than the random part, our predictions are likely to be off.

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Solution 2

a. False

The statement is false. If the overall impact of the deterministic part is less than the overall impact of the random part in the regression equation, it means that the model is not explaining much of the variability in the data. This would lead to less accurate or efficient predictions, not more. The deterministic part of the regression equation is what we use to make predictions, so if its impact is less than the random part, our predictions are likely to be off.

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The Deterministic part of the regression line is always a fixed number even if we calculate it for different values of the independent variable.a.Falseb.True

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