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The Prediction of the Rate of the Dropout of the Primary Schools Students by Using the Genetic Algorithm-Figure 11. Drawing the time series for males and females primary stage after the First difference
<p>We use the Unit Radix Dickey-Fuller Test to ensure the series’ stability. The results are: Dickey-Fuller Test Estimated Value = 0.369693, Statistic Test =1.01829, P-Value=0.9194 We notice from the values above P-Value = 0.9194 on the abstract level of 0.05 which leads to accepting the Null Hypothesis and refusing the Alternative Hypothesis (Existence of a Radix Unit) implies that the time series is instable. By taking the first difference, we notice that the stability of the time series has been achieved. See Figure 11.</p>
The Prediction of the Rate of the Dropout of the Primary Schools Students by Using the Genetic Algorithm-Figure 10. Drawing of autocorrelation function and partial correlation for Males and Females primary stage students
<p>The instability of the time series is recognized, and to be more accurate, we draw each (Autocorrelation Function) ACF, and (Partial Autocorrelation Function) PACF in a row to assure the stability according to the figure (10).</p>
The Prediction of the Rate of the Dropout of the Primary Schools Students by Using the Genetic Algorithm-Figure 14. Drawing of autocorrelation function and partial correlation of the residues for primary stage males students
<p>After diagnosing and evaluating the models, the accommodating and the sufficiency of the models must be checked for primary stage female students, through applying the compute (Ljung- Box Q) to check the model accommodation on the function level 0.05 so the Q value occurs of primary stage female students: Ljung-Box Q' = 0.966626, With p-value = P(Chi-square(1) > 0.966626) = 0.3255 However, the Tabulated value equals 3.841 whilst the Q value is less than Tabulated value, so it accepts the Null Hypothesis which indicates the emptiness of the evaluated model out of the contrast accordance trouble. It's possible to notice the two parameters functions (Autocorrelation and Partial Correlation Functions) of the residues for females primary stage students, in which the residues value is located within the confidence interval limits, which means the residues series is random and the evaluated model is good and convenient as it is shown.</p>
The Prediction of the Rate of the Dropout of the Primary Schools Students by Using the Genetic Algorithm-Figure 9. Drawing the time series for males and females primary stage students
<p>The Unit Radix Dickey-Fuller Test is used to ensure the series’ stability. The results are: Dickey-Fuller Test Estimated Value = 0.736458 , Statistic Test = 0.380545 , P-Value = 0.794 We notice from the values above P-Value = 0.794on the abstract level of 0.05 which leads to refusing the Null Hypothesis and accepting the Alternative Hypothesis ( The Nonexistence of a Radix Unit) implies that the time series is stable. Figure (9) represents the time series of females and males in the primary stage students.</p>
The Prediction of the Rate of the Dropout of the Primary Schools Students by Using the Genetic Algorithm-Figure 7. Drawing the time chain for Females primary stage students after the first difference
<p>We use the Unit Radix Dickey-Fuller Test to assert the series’ stability. The results are: Dickey-Fuller Test Estimated Value = 0.47242, Statistic Test = 1.22797, P-Value = 0.9445 We notice from the values above P-Value =0.9445 on the abstract level of 0.05 which leads to accepting the Null Hypothesis and refusing the Alternative Hypothesis (Existence of a Radix Unit) implies that the time series is instable. By taking the first difference, it is noticed that the stability of the time series has been accomplished. See Figure 7.</p>
The Prediction of the Rate of the Dropout of the Primary Schools Students by Using the Genetic Algorithm-Figure 6. Drawing of auto correlation function and partial correlation for females primary stage students
<p>The instability of the time series is noticed and to be more precise we draw each (Autocorrelation Function) ACF, and (Partial Autocorrelation Function) PACF in a row to affirm the stability according to the figure 6.</p>
The Prediction of the Rate of the Dropout of the Primary Schools Students by Using the Genetic Algorithm-Figure 4. Drawing of autocorrelation function and partial correlation for males primary stage students
<p>We get to notice the stability of the time series, and to be more accurate we draw each (Autocorrelation Function) ACF, and (Partial Autocorrelation Function) PACF in a row to ensure the stability according to the figure (4).</p>
The Prediction of the Rate of the Dropout of the Primary Schools Students by Using the Genetic Algorithm-Figure 5. Drawing the time series for primary stage female students
<p>We use the Unit Radix Dickey-Fuller Test to assure the series’ stability. The results are: Dickey-Fuller Test Estimated Value = 0.233403, Statistic Test = 0.125769, P-Value = 0.6405 The values above P-Value = 0.6405 is noted on the abstract level of 0.05 which leads to refusing the Null Hypothesis and accepting the Alternative Hypothesis (The Nonexistence of a Radix Unit) implies that the time series is stable. Figure 5 represents the Time series of Female Primary Stage Students.</p>
The Prediction of the Rate of the Dropout of the Primary Schools Students by Using the Genetic Algorithm-Figure 8. Drawing of autocorrelation function and partial correlation for Females primary stage students
<p>The stability of the time series is observed and to be more accurate we draw each (Autocorrelation Function) ACF, and (Partial Autocorrelation Function) PACF in a row to assure the stability according to the figure (8).</p>
The Prediction of the Rate of the Dropout of the Primary Schools Students by Using the Genetic Algorithm-Figure 3. Drawing the time series for Males primary stage students after getting the first difference
<p>The Unit Radix Dickey-Fuller Test is used to assure the series’ stability. The results are: Dickey-Fuller Test Estimated Value = 0.276151, Statistic Test = 0.87796, P-Value = 0.8984 We get to notice from the values above P-Value = 0.8984 on the abstract level of 0.05 which leads to accepting the Null Hypothesis and refusing the Alternative Hypothesis (Existence of a Radix Unit) implies that the time series is instable. By taking the first difference, it is observed that the stability of the Time Series has been accomplished . See figure 3.</p>
The Prediction of the Rate of the Dropout of the Primary Schools Students by Using the Genetic Algorithm-Figure 2. Drawing of autocorrelation function and partial correlation for males primary stage
<p>We get to notice the instability of the time series, and to be more precise we draw each (Autocorrelation Function) ACF, and (Partial Autocorrelation Function) PACF in a row to ensure the stability according to the figure 2.</p>
The Prediction of the Rate of the Dropout of the Primary Schools Students by Using the Genetic Algorithm-Figure 1. Drawing the time series for males primary stage
<p>After collecting all the students’ dropout proportion for both males and females in the<br> primary stage, the first step of the Box-Jenkins is to draw the time chain data to understand the<br> chain's attitude.</p>
Mapa georreferenciado de las zonas básicas de salud de CANARIAS. Año 2017. España. || Georeferenced map of primary care area of reference in the CANARY ISLANDS. Year 2017. Spain.
<p><strong>// ES::Español</strong><br> Información geográfica y mapas relativos a las zonas básicas de salud de la Comunidad Autónoma de CANARIAS, España. Las zonas básicas de salud se refieren a las áreas de referencia de atención primaria. Cada zona básica de salud está determinada por la existencia de un Equipo de Atención Primaria, que asiste a la población de referencia de su zona desde un Centro de Salud de<br> Atención primaria.</p> <p>Los mapas están proyectados en el sistema de referencia de coordenadas geográficas.</p> <p><strong>// EN::English</strong><br> Geographical information and maps of the primary care settings of the Autonomous Community of CANARIAS, Spain. The primary care areas of reference are configured following the availability of a Primary Care Team (health professionals) assisting reference populations' health needs from a primary care centre within<br> the area.</p> <p>Maps are projected in the geographic coordinates reference system.</p>
Mapa georreferenciado de las zonas básicas de salud de MADRID. Año 2017. España. || Georeferenced map of primary care area of reference in MADRID. Year 2017. Spain.
<p><strong>// ES::Español</strong><br> Información geográfica y mapas relativos a las zonas básicas de salud de la Comunidad Autónoma de <strong>MADRID</strong>, España. Las zonas básicas de salud se refieren a las áreas de referencia de atención primaria. Cada zona básica de salud está determinada por la existencia de un Equipo de Atención Primaria, que asiste a la población de referencia de su zona desde un Centro de Salud de<br> Atención primaria.</p> <p>Los mapas están projectados en el sistema de referencia de coordenadas geográficas.</p> <p><strong>// EN::English</strong><br> Geographical information and maps of the primary care settings of the Autonomous Community of <strong>MADRID</strong>, Spain. The primary care areas of reference are configured following the availability of a Primary Care Team (health professionals) assisting reference populations' health needs from a primary care centre within<br> the area.</p> <p>Maps are projected in the geographic coordinates reference system.</p>
ES: Mapa georreferenciado de las zonas básicas de salud de CANTABRIA. Año 2017. España. || EN: Georeferenced map of primary care area of reference in CANTABRIA . Year 2017. Spain.
<p>ES: Información geográfica y mapas relativos a las zonas básicas de salud de la Comunidad Autónoma [CCAA], España. Las zonas básicas de salud se refieren a las áreas de referencia de atención primaria. Cada zona básica de salud está determinada por la existencia de un Equipo de Atención Primaria, que asiste a la población de referencia de su zona desde un Centro de Salud de<br> Atención primaria. Los mapas están projectados en el sistema de referencia de coordenadas geográficas.</p> <p>|| EN: Geographical information and maps of the primary care settings of the Autonomous Community [CCAA], Spain. The primary care areas of reference are configured following the availability of a Primary Care Team (health professionals) assisting reference populations' health needs from a primary care centre within<br> the area. Maps are projected in the geographic coordinates reference system.</p>
ES: Mapa georreferenciado de las zonas básicas de salud de CASTILLA LEON. Año 2017. España. || EN: Georeferenced map of primary care area of reference in CASTILLA LEON . Year 2017. Spain.
<p>ES: Información geográfica y mapas relativos a las zonas básicas de salud de la Comunidad Autónoma [CCAA], España. Las zonas básicas de salud se refieren a las áreas de referencia de atención primaria. Cada zona básica de salud está determinada por la existencia de un Equipo de Atención Primaria, que asiste a la población de referencia de su zona desde un Centro de Salud de<br> Atención primaria. Los mapas están projectados en el sistema de referencia de coordenadas geográficas.</p> <p>|| EN: Geographical information and maps of the primary care settings of the Autonomous Community [CCAA], Spain. The primary care areas of reference are configured following the availability of a Primary Care Team (health professionals) assisting reference populations' health needs from a primary care centre within<br> the area. Maps are projected in the geographic coordinates reference system.</p>
ES: Mapa georreferenciado de las zonas básicas de salud de CATALUÑA. Año 2017. España. || EN: Georeferenced map of primary care area of reference in CATALUÑA. Year 2017. Spain.
<p>ES: Información geográfica y mapas relativos a las zonas básicas de salud de la Comunidad Autónoma [CCAA], España. Las zonas básicas de salud se refieren a las áreas de referencia de atención primaria. Cada zona básica de salud está determinada por la existencia de un Equipo de Atención Primaria, que asiste a la población de referencia de su zona desde un Centro de Salud de<br> Atención primaria. Los mapas están projectados en el sistema de referencia de coordenadas geográficas.</p> <p>|| EN: Geographical information and maps of the primary care settings of the Autonomous Community [CCAA], Spain. The primary care areas of reference are configured following the availability of a Primary Care Team (health professionals) assisting reference populations' health needs from a primary care centre within<br> the area. Maps are projected in the geographic coordinates reference system.</p>
ES: Mapa georreferenciado de las zonas básicas de salud de CASTILLA LA MANCHA. Año 2017. España. || EN: Georeferenced map of primary care area of reference in CASTILLA LA MANCHA. Year 2017. Spain.
<p>ES: Información geográfica y mapas relativos a las zonas básicas de salud de la Comunidad Autónoma [CCAA], España. Las zonas básicas de salud se refieren a las áreas de referencia de atención primaria. Cada zona básica de salud está determinada por la existencia de un Equipo de Atención Primaria, que asiste a la población de referencia de su zona desde un Centro de Salud de<br> Atención primaria. Los mapas están projectados en el sistema de referencia de coordenadas geográficas.</p> <p>|| EN: Geographical information and maps of the primary care settings of the Autonomous Community [CCAA], Spain. The primary care areas of reference are configured following the availability of a Primary Care Team (health professionals) assisting reference populations' health needs from a primary care centre within<br> the area. Maps are projected in the geographic coordinates reference system.</p>
ES: Mapa georreferenciado de las zonas básicas de salud de ARAGON. Año 2017. España. || EN: Georeferenced map of primary care area of reference in ARAGON. Year 2017. Spain.
<p>ES:Español<br> Información geográfica y mapas relativos a las zonas básicas de salud de la Comunidad Autónoma [CCAA], España. Las zonas básicas de salud se refieren a las áreas de referencia de atención primaria. Cada zona básica de salud está determinada por la existencia de un Equipo de Atención Primaria, que asiste a la población de referencia de su zona desde un Centro de Salud de<br> Atención primaria.</p> <p>Los mapas están projectados en el sistema de referencia de coordenadas geográficas.</p> <p>|| EN:English<br> Geographical information and maps of the primary care settings of the Autonomous Community [CCAA], Spain. The primary care areas of reference are configured following the availability of a Primary Care Team (health professionals) assisting reference populations' health needs from a primary care centre within<br> the area.</p> <p>Maps are projected in the geographic coordinates reference system.</p>
ES: Mapa georreferenciado de las zonas básicas de salud de BALEARES. Año 2017. España. || EN: Georeferenced map of primary care area of reference in BALEARES. Year 2017. Spain.
<p>ES:Español<br> Información geográfica y mapas relativos a las zonas básicas de salud de la Comunidad Autónoma [CCAA], España. Las zonas básicas de salud se refieren a las áreas de referencia de atención primaria. Cada zona básica de salud está determinada por la existencia de un Equipo de Atención Primaria, que asiste a la población de referencia de su zona desde un Centro de Salud de<br> Atención primaria.</p> <p>Los mapas están projectados en el sistema de referencia de coordenadas geográficas.</p> <p>|| EN:English<br> Geographical information and maps of the primary care settings of the Autonomous Community [CCAA], Spain. The primary care areas of reference are configured following the availability of a Primary Care Team (health professionals) assisting reference populations' health needs from a primary care centre within<br> the area.</p> <p>Maps are projected in the geographic coordinates reference system.</p>
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