Y=b_{0}+b_{1}x_{1}+b_{2}x_{2} | ||||||
---|---|---|---|---|---|---|

Y (infection rate) | Mild influenza | Strong influenza | Catastrophic influenza | |||

coefficient | p Value | coefficient | p Value | coefficient | p Value | |

b_{0} | −0.2590180 | 3.84e-11 | 0.0683118 | 0.00134 | 0.2277537 | <2e-16 |

b_{1} | 0.0053841 | <2e-16 | 0.0043392 | <2e-16 | 0.0032223 | <2e-16 |

b_{2} | 0.0275260 | <2e-16 | 0.0242941 | <2e-16 | 0.0229994 | <2e-16 |

Adjusted R ^{2} | 0.7686 | 0.9826 | 0.9108 |

The dependent variable is the cumulative infection rate (Y) in each of the 298 slum zones in Delhi, India. The variable ‘average degree,’ denoted by x

_{1}, refers to the average number of contacts per individual within the slum zone and the variable ‘average household size,’ denoted by x_{2}, refers to the average household size in the slum zone. b_{0}refers to the intercept of the fitted regression model, and b_{1}and b_{2}are the coefficients of x_{1}and x_{2}, respectively.