Global Journal of Science Frontier Research, H: Environment & Earth Science, Volume 21 Issue 6

The result summary depicts the ranking effect of climatic variables on asthma across the time frame under study with value of the coefficient of determination as well as the coefficient of the adjusted coefficient of determination. The value of coefficient of r 2 was arrived at 0.586996. This thus implies that 59% of the variation in incidence of asthma in the study area, is explained by the variation in mean maximum temperature, mean minimum temperature, mean relative humidity, and mean rainfall in the study area across the time series under consideration. From the summary of the results, the adjusted Ṝ 2 was arrived at 0.436813. This by implication implies that over 44 percent of the total variation in the incidence of asthma is explained by the variation in the explanatory variable after taking into consideration the degree of freedom (12) which is indeed strong. The F-statistic value of 3.908536 was low and shows the overall estimated regression model was at the conventional significance level of 0.05 level of significance, and thus statistically significant. This was as a result of the F-statistics (3.908536) found to be less than the critical F-statistics probability (0.032654 < 0.05). The Durbin-Watson statistic of 0.579206, indicate the presence of positive autocorrelation in the regression. The regression results also reveals the coefficient of the constant parameter, as well as the coefficients of the explanatory variables of the regression model of the study. From the regression result, it can be observed that the constant parameter ( β 0 ) is positively related to IAsthm in the study area across the time series under study with a coefficient of β 0 = 99.78362. The t-statistic was arrived at -1.810367, with a probability value of 1.212641, the positive relationship between IAsthm and β 0 was not statistically significant, since the p- value = 0.2507 > 0.05. The results revealed a negative relationship between MmaxTemp and IAsthm in the study area, with a coefficient value of -2.377939. The t-statistic of MmaxTemp was arrived at -1.027759, with a probability value of 0.3261. At 0.05% level of significance, p- value = 0.3261 > 0.05. It thus implies that the negative relationship between MmaxTemp and IAsthm was not statistically significant. This result does not conform to the aprior expectation of a positive relationship between IAsthm and MmaxTemp ( β 1 > 0). The coefficient of MminTemp shows a negative relationship between MminTemp and IAsthm in the study area, with a coefficient value of -0.621961. The t- statistics of the coefficient of MminTemp was arrived at - 0.264723, with a probability value of 0.7961 at 0.05% level of significance. This result is against our aprior expectation of a positive relationship between IAsthm and MminTemp ( β 2 > 0), and not statistically significant since p- value = 0.7961 > 0.05. The coefficient of RHumidiy from the results was arrived at 0.431406, indicating a positive relationship between the RHumidiy and IAsthm . The t-statistics of this explanatory variable was arrived at 1.275884, with a probability value of 0.2283 at 0.05% level of significance. This result conforms with our aprior expectation of a positive relationship between IAsthm and RHumidiy ( β 3 > 0), however, this positive relationship was not statistically significant since p- value = 0.2283 > 0.05. The implication here is that an increase in RHumidiy across the time series under consideration resulted in an increase in IAsthm , but not at a significant level. The coefficient of Mrainfall was -0.039827, implying an inverse relationship between IAsthm and Mrainfall across the time series under study. The t- statistics of the coefficient of Mrainfall was arrived at - 0.311828, with a probability value of 0.7610 at 0.05% level of significance. This result does not conform to our aprior expectation of a positive relationship between IAsthm and Mrainfall ( β 4 > 0), and was not statistically significant since p = 0.7610 > 0.05. The implication here is that and increase in the IAsthm resulted into a decrease in the IM but not at a significant level. R eferences R éférences R eferencias 1. Adesina, F.A. (1988). Developing Stable agroforestry system. In the tropics: an example of local agroforestry techniques from South Western Nigeria. Discuss papers in Geography 37, Dept. of Geography, University of Salford, United Kingdom, pp. 27. 2. Akelof, K. Debono, R. Berry P. et’ al (2010). Perception of climate change as a Public Health Risk : Survey of the United States, Canada and Malta. 3. Akwa, V.L., Binbol, N.L., Samaila, K.I. and Marcus, N.D. (2007). 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Relationship between Climatic Variables and Incidence of Malaria and Asthma in Keffi Local Government Area of Nasarawa State, Nigeria © 2021 Global Journals 1 Global Journal of Science Frontier Research Volume XXI Issue VI Year 2021 68 ( H ) Version I