Research and Application of Forecasting Based on ARIMA and ANOVA Models

In this paper, a prediction model was built by ARIMA model and ANOVA based on the WordLE data. An ARIMA (1,1,0) prediction model was constructed using the historical data, and the number of results reported on March 1, 2023 was found to be in that range (8959,10133).A three-factor analysis of variance (AN OVA) was used to predict the number of results reported on March 1, 2023, and the number of results reported on March 1, 2023 was found to be in that range. The correlation between the sample attributes and the percentage scores in the hard mode was verified by three-factor analysis of variance, stepwise regression was applied to predict the relevant percentage of each attempted score, and quantitative attributes, information entropy, and frequency indices were introduced to correct the model. The model in this paper is of generalizable significance with the aim of providing some implications for prediction research in other fields.