When a suitable model is being built, different statistical methods such as the F-test, t-test and R² are often useful criteria for removing or adding predictors from a madel. However, very few studies have focused on the use of the confidence interval estimates in accessing the performance of predictor variables in a regression model. In this study data on some economic factors have being examined in order to study crime rate. The multiple regression model analysis was fitted with the F-test statistics and confidence interval estimates fitted as measuring criteria for assessing the model adequacy. From the result; it is obvious that the confidence interval criterion gives a better understanding and reliability of determining a model predictive power.

Cite This Article as: Odior KA and Felix E, 2022. An evaluation of the usefulness of fitted regression equation using the confidence interval. Inter J Appl Sci Engr, 10(2): 35-38.

This study used the Oba Super 13 maize variety as a test crop on three main plots, each of which represented a distinct tillage technique, in order to explore the impact of various soil treatments on crop output. There are a total of 27 subplots, three levels of each of the three soil treatments (irrigation deficit, tillage method and NPK Application rate) present in each plot. All of the subplots’ crop yields were calculated, and the conservative tillage method with 10% MAD and 600 kg/ha NPK application rate produced the highest crop yield of 2540 kg/ha, while; no tillage, 50% MAD and 400 kg/ha NPK application rate produced the lowest yield of 1234.67 kg/ha. All of the subplots’ controllable variables were optimized utilizing the response surface technique (RSM). The best values based on the run resulted in a crop yield of 2543.589Kg/Ha, conservative tillage, an irrigation deficit of 11.594%, and NPK application rates of 596.406Kg/Ha. For the purposes of this study, conservative tillage produced the highest maize yield. This supports the idea that a drip irrigation system could produce a high yield in the research area.

Cite This Article as: Orakwe LC, Nwachukwu CP, Anizoba DC, 2023. Assessing how different soil treatments affect crop yield in southeast Nigeria. Inter J Appl Sci Engr, 10(2): 39-45.