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  1. 21
    Coefficients of the reduced linear regression model without multicollinearity.

    Coefficients of the reduced linear regression model without multicollinearity. by Dania AL-Najjar (11840857)

    Published 2022
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  2. 22
    Parameters for the neural network.

    Parameters for the neural network. by Dania AL-Najjar (11840857)

    Published 2022
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  3. 23
    Error analysis of neural network based on the validation dataset.

    Error analysis of neural network based on the validation dataset. by Dania AL-Najjar (11840857)

    Published 2022
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  4. 24
    Coefficients of TASI model with control variable.

    Coefficients of TASI model with control variable. by Dania AL-Najjar (11840857)

    Published 2022
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  5. 25
    ANOVA test of the linear regression model.

    ANOVA test of the linear regression model. by Dania AL-Najjar (11840857)

    Published 2022
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  6. 26
    Variable inflation factor analysis with TASI as dependent variable after dropping highest VIF.

    Variable inflation factor analysis with TASI as dependent variable after dropping highest VIF. by Dania AL-Najjar (11840857)

    Published 2022
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  7. 27
    Variable inflation factor analysis with Trading Volume as a dependent variable after dropping highest VIF.

    Variable inflation factor analysis with Trading Volume as a dependent variable after dropping highest VIF. by Dania AL-Najjar (11840857)

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  8. 28
    Performance of neural network and linear regression compared to real stock market.

    Performance of neural network and linear regression compared to real stock market. by Dania AL-Najjar (11840857)

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  9. 29
    Fig 2 -

    Fig 2 - by Dania AL-Najjar (11840857)

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  10. 30
    Model summary.

    Model summary. by Dania AL-Najjar (11840857)

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  11. 31
    Flowchart of neural network and linear regression prediction model.

    Flowchart of neural network and linear regression prediction model. by Dania AL-Najjar (11840857)

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  12. 32
    Descriptive statistics of the independent and dependent variables.

    Descriptive statistics of the independent and dependent variables. by Dania AL-Najjar (11840857)

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  13. 33
    Parameters for linear regression.

    Parameters for linear regression. by Dania AL-Najjar (11840857)

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  14. 34
    Coefficients of the reduced linear regression model without multicollinearity.

    Coefficients of the reduced linear regression model without multicollinearity. by Dania AL-Najjar (11840857)

    Published 2022
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  15. 35
    Fig 3 -

    Fig 3 - by Dania AL-Najjar (11840857)

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  16. 36
    ANOVA.

    ANOVA. by Dania AL-Najjar (11840857)

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  17. 37
    ANOVA a test of the linear regression model.

    ANOVA a test of the linear regression model. by Dania AL-Najjar (11840857)

    Published 2022
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  18. 38
    Predictor importance for predicting stock market using neural network and linear predictor.

    Predictor importance for predicting stock market using neural network and linear predictor. by Dania AL-Najjar (11840857)

    Published 2022
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  19. 39
    ANOVA.

    ANOVA. by Dania AL-Najjar (11840857)

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  20. 40
    Descriptive statistics of main variables.

    Descriptive statistics of main variables. by Dania AL-Najjar (11840857)

    Published 2022
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