STATISTICAL TECHNIQUES AND TOOLS
MULTIPLE REGRESSION
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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For a multiple linear regression model, if the t values are not significant, but the overall F value for the model is highly significant, then what might be the possible problem for this regression model?
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estimability
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extrapolation
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multicollinearity
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non-linear problem
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Explanation:
Detailed explanation-1: -This means that the results are considered to be „statistically non-significant‟ if the analysis shows that differences as large as (or larger than) the observed difference would be expected to occur by chance more than one out of twenty times (p > 0.05).
Detailed explanation-2: -Remove some of the highly correlated independent variables. Linearly combine the independent variables, such as adding them together. Partial least squares regression uses principal component analysis to create a set of uncorrelated components to include in the model. More items
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