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    Poverty

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    tp077535
    Regression analysis was conducted with poverty rate as the dependent variable and volume of trade as the independent variable using 30 observations from 1991 to 2020. The multiple R was 0.834, R-squared was 0.696, and adjusted R-squared was 0.685, indicating a strong positive correlation between the variables. Volume of trade was found to be a statistically significant predictor of poverty rate with a p-value less than 0.001.

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    Poverty

    Uploaded by

    tp077535
    9 views5 pages
    Regression analysis was conducted with poverty rate as the dependent variable and volume of trade as the independent variable using 30 observations from 1991 to 2020. The multiple R was 0.834, R-squared was 0.696, and adjusted R-squared was 0.685, indicating a strong positive correlation between the variables. Volume of trade was found to be a statistically significant predictor of poverty rate with a p-value less than 0.001.

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    Regression analysis was conducted with poverty rate as the dependent variable and volume of trade as the independent variable using 30 observations from 1991 to 2020. The multiple R was 0.834, R-squared was 0.696, and adjusted R-squared was 0.685, indicating a strong positive correlation between the variables. Volume of trade was found to be a statistically significant predictor of poverty rate with a p-value less than 0.001.

    Copyright:

    © All Rights Reserved
    Download as XLSX, PDF, TXT or read online from Scribd
    Download as xlsx, pdf, or txt
    9 views5 pages

    Poverty

    Uploaded by

    tp077535
    Regression analysis was conducted with poverty rate as the dependent variable and volume of trade as the independent variable using 30 observations from 1991 to 2020. The multiple R was 0.834, R-squared was 0.696, and adjusted R-squared was 0.685, indicating a strong positive correlation between the variables. Volume of trade was found to be a statistically significant predictor of poverty rate with a p-value less than 0.001.

    Copyright:

    © All Rights Reserved
    Download as XLSX, PDF, TXT or read online from Scribd
    Download as xlsx, pdf, or txt
    of 5

    SUMMARY OUTPUT

    Regression Statistics
    Multiple R 0.834406
    R Square 0.696233
    Adjusted R 0.685384
    Standard E 0.136052
    Observatio 30

    ANOVA
    df SS MS F Significance F
    Regression 1 1.187905 1.187905 64.17596 1.006E-08
    Residual 28 0.518284 0.01851
    Total 29 1.706189

    Coefficients
    Standard Error t Stat P-value Lower 95%Upper 95%Lower 95.0%
    Upper 95.0%
    Intercept 0.648931 0.04769 13.60715 7.268E-14 0.551242 0.746621 0.551242 0.746621
    X Variable -1.68E-12 2.097E-13 -8.01099 1.006E-08 -2.11E-12 -1.25E-12 -2.11E-12 -1.25E-12
    Poverty (% of Volume of trade
    Year
    population) (in USD) Poverty headcount ratio at $2.15 a day (% of population) fi
    1991 88.00% 55,011,182,592
    1992 82.39% 61,246,576,640 Poverty (% of
    1993 62.10% 65,150,490,624
    1994 64.60% 72,036,886,528 100.00%

    1995 57.70% 86,046,666,752 90.00%

    1996 51.30% 92,743,159,808 80.00%


    1997 53.20% 95,123,324,928 70.00%
    1998 69.10% 76,184,348,672 60.00%
    1999 46.00% 72,668,669,019 50.00%
    2000 43.60% 95,638,811,769 40.00%
    2001 39.90% 87,279,007,783 30.00%
    2002 26.80% 88,447,593,154 20.00%
    2003 26.40% 93,608,868,870 10.00%
    2004 27.00% 118,106,999,480 0.00%
    2005 24.60% 143,360,828,419 1985 1990 1995 2000

    2006 30.60% 161,864,080,900


    2007 25.20% 188,574,301,534
    2008 24.70% 266,264,474,693
    2009 21.00% 213,339,154,357
    2010 18.30% 293,442,383,684
    2011 15.70% 380,932,169,492 Output obtained from Eviews:
    2012 13.70% 381,722,747,313
    Dependent Variable: POVERTY____OF_POPULAT
    2013 11.20% 369,180,385,003 Method: Least Squares
    2014 9.30% 354,215,534,530 Date: 11/22/22 Time: 12:25
    2015 8.30% 293,061,083,493 Sample: 1991 2020
    2016 7.50% 280,142,596,210 Included observations: 30
    2017 6.60% 325,813,055,164 Variable Coefficient
    2018 5.40% 368,926,205,712
    2019 4.40% 338,958,703,817 C 0.648931
    VOLUME_OF_TRADE__IN_USD_ -1.68E-12
    2020 3.80% 304,760,598,545
    R-squared 0.696233 M
    Adjusted R-squared 0.685384 S
    SUMMARY OUTPUT S.E. of regression 0.136052 A
    Sum squared resid 0.518284 S
    Log likelihood 18.30830 H
    Regression Statistics F-statistic 64.17596 D
    Multiple R 0.834405867570693 Prob(F-statistic) 0.000000
    R Square 0.696233151836401
    Adjusted R Square 0.685384335830559
    Standard Error 0.136051923410093
    Observations 30

    ANOVA
    df SS MS F Significance F
    Regression 1 1.18790504548626 1.187905 64.17596 1.005903E-08
    Residual 28 0.5182835241804 0.01851
    Total 29 1.70618856966667

    Coefficients Standard Error t Stat P-value Lower 95%


    Intercept 0.64893120244461 0.0476904695255 13.60715 7.268E-14 0.5512417041
    X Variable 1 -1.6799942613578E-12 2.0971119774E-13 -8.01099 1.006E-08 -2.109568E-12
    at $2.15 a day (% of population) figure

    Poverty (% of Population)

    990 1995 2000 2005 2010 2015 2020 2025

    ed from Eviews:

    iable: POVERTY____OF_POPULATION_
    Squares
    Time: 12:25
    2020
    vations: 30

    ariable Coefficient Std. Error t-Statistic Prob.

    C 0.648931 0.047690 13.60715 0.0000


    TRADE__IN_USD_ -1.68E-12 2.10E-13 -8.010990 0.0000

    0.696233 Mean dependent var 0.322797


    ared 0.685384 S.D. dependent var 0.242557
    ion 0.136052 Akaike info criterion -1.087220
    esid 0.518284 Schwarz criterion -0.993807
    18.30830 Hannan-Quinn criter. -1.057336
    64.17596 Durbin-Watson stat 0.466574
    ) 0.000000
    Upper 95% Lower 95.0% Upper 95.0%
    0.7466207008 0.5512417041 0.7466207008
    -1.25042E-12 -2.109568E-12 -1.25042E-12

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