The overall significance of a regression model is tested using the F test. The model is significant if:
The F value is low |
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Unable to answer due to insufficient information |
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The slope is lower than the intercept |
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The R squared value is low |
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The significance level of the F value is low |
Option (4) is right answer. The model will be significant when calculated F - value will be greater than critical F value. it is only possible if significance level of f- value is low .
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