Figure 3
A line graph titled 'Autocorrelation Function (ACF) Plot for Maize Prices (Katsina)' displays the autocorrelation values on the y-axis ranging from negative 1 to 1 and the lag values on the x-axis ranging from 0 to 20. The graph shows a gradual decay in autocorrelation across lags, indicating temporal dependence. The data points start at 1 on the y-axis at lag 0 and gradually decrease, with the values staying positive and within the confidence interval shaded in light blue. The confidence interval narrows as the lag increases. The graph suggests the inclusion of autoregressive components in the ARIMA model. All values are approximated.Autocorrelation function (ACF) Plot for maize prices in Katsina. The gradual decay in autocorrelation across lags indicates the presence of temporal dependence and supports the inclusion of autoregressive components in the ARIMA model. (Source: Authors’ own work)