Analysis of tennis techniques and tactics based on multiple linear regression model

Abstract In order to make up for the existing deficiencies in analysis of factors affecting athletes’ victory, scientifically and effectively judge technical indicators that affect author puts forward tennis techniques tactics based on multiple linear regression model. Based Logistic model, made statistics data 10 events men's singles 2021 Open, conducted a series tests such as normal distribution test Kruskal Wallis data, finally, model was obtained, which believed scoring rate first round, second round had greatest impact victory or defeat open, final used goodness fit various 2021, segmentation point selected 0.5, prediction accuracy 82.1%. Therefore, it can be determined this has high predicting matches, good effect. It is suggested athletes should pay attention integrated ability training attack defense.