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Regression Model Analysis

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  • #42166

    melvin
    Participant

    Can someone help me with the following:1-What is T Test, what does is measure and when is it considered good or bad? (Significant)2-What is F Test, what does is measure and when is it considered good or bad?3-What is R Square, what does is measure and when is it considered good or bad.4-What is Adjusted R Square, what does is measure and when is it considered good or bad.5-What is P-Value, what does is measure and when is it considered good or bad.6-What is standared Deviation, what does is measure and when is it considered good or bad.

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    #132988

    clb1
    Participant

    1. t-test – measures difference between two means
    2. F-test – measures the difference between two standard deviations
    3. R2 – is a crude summary of the variance observed in the data that is explained by terms in a model.
    4. Adjusted R2 – same as 3 only modified to take into account model parameters.
    5. P value is a measure of significance
    6. Standard deviation is a measure of the scatter of the data about a mean.
    As for good or bad – it depends on what you are doing and the kind of data you have – there are a bunch of rules of thumb but each one has a list of “yeah-but’s” a mile long.Β  I’d recommend you check you class notes to determine what your teacher considers to be “good or bad”.

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    #132989

    Peppe
    Participant

    Bob,Β  significant mean that a test have been done and it produced a result ‘p’ < of 'x'.
    It is called significant for p<0,05 ; Very significatΒ for p< 0,01 ; highly significantΒ for p<0,001
    Rgs, Peppe

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    #133028

    melvin
    Participant

    Thanks guys for the help

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    #133029

    melvin
    Participant

    Thanks guys for the help

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    #133184

    McMurray
    Participant

    The F-test measures the difference between 2 variances.Β  R^2 is the coefficient of determination and tells you how much of the response is explained by the variables in your regression model.Β  R2-adj accounts for the DOF, not your model parameters.
    And there are no degrees of significance, a statistical parameter is either significant or not based on the level of significance chosen for the test.
    Β 

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