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Multiple Causes of Food Insecurity: Multiple Regression Analysis

This study explores the impact of maternal education and community characteristics on children's nutritional status using multiple regression analysis in a sample from Malawi. The results include coefficient estimation, model prediction evaluation, hypothesis testing, and checking for regression assumption violations.

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Multiple Causes of Food Insecurity: Multiple Regression Analysis

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  1. Multiple Causes of Food Insecurity: Multiple Regression Analysis Reference: Gujarati (2004)

  2. THE THREE-VARIABLE MODEL

  3. THE THREE-VARIABLE MODEL

  4. THE THREE-VARIABLE MODEL

  5. Maternal education and community characteristics as indicators of nutritional status of children – application of multivariate regression Nutritional Status of Children

  6. Main results • Step 1: Estimating the coefficients of the model(Table 10.2,10.3). • Step 2: Examining how good the model predicts(Table 10.4,10.5). • Step 3: Hypotheses testing. • Tests about the equation(Table 10.6,10.7). • Tests about individual coefficients(Table 10.8,10.9). • Part and partial correlation coefficients. • Step 4: Checking for violations of regression assumptions. • Checking normality of the errors(Table 10.10,Figure 10.1,10.2). • Checking for homogeneity of variance of the residuals(Figure 10.3,10.4). Nutritional Status of Children

  7. Empirical analysis Nutritional Status of Children

  8. Empirical analysis Data description and methodology Nutritional Status of Children

  9. Table 10.1 Means and standard deviations of variables: Malawi sample Nutritional Status of Children

  10. Table 10.2 Determinants of weight for age Z-scores Nutritional Status of Children

  11. Table 10.3 Determinants of height for age Z-scores Nutritional Status of Children

  12. Equations to predict the weight for age Z-scores for model 1 Nutritional Status of Children

  13. Table 10.4 Summary of the model for determinants of weight for age Z-scores Nutritional Status of Children

  14. Table 10.5 Summary of the model for determinants of height for age Z-scores Nutritional Status of Children

  15. Table 10.6 Analysis of variance table for weight for age Z-scores Nutritional Status of Children

  16. Table 10.7 Analysis of variance table for height for age Z-scores Nutritional Status of Children

  17. Table 10.8 Tests of individual coefficients for determinants of weight for age Z-scores Note: * denotes at 1 per cent level of significance. Nutritional Status of Children

  18. Table 10.9 Tests of individual coefficients for determinants of height for age Z-scores Nutritional Status of Children Note: * denotes at 1 per cent level of significance, ** denotes at 5 per cent level of significance.

  19. Table 10.10 Part and partial correlation coefficients for weight for age and height for age Nutritional Status of Children

  20. Figure 10.1 Histogram of standardized residuals of weight for age Nutritional Status of Children

  21. Figure 10.2 Normal P-P plot of regression standardized residuals Nutritional Status of Children

  22. Figure 10.3 Residuals plotted against predicted values for weight for age Nutritional Status of Children

  23. Figure 10.4 Residuals plotted against predicted values for height for age Nutritional Status of Children

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