The height influence on NBA Players Tânia Santos 05/06/2019 statistical methods data analytics chi-square test simple correspondence analysis perceptual map sports analytics nba basketball The basketball is one of the most popular sport in the world. In this post we will explore the height influence on NBA players (rebounding skills and field position) . Using statistical methods like simple correspondence analysis, chi-square, correlation methods.
One-way Anova: Positional effect on the height of soccer players of the top 16 teams in the UEFA Champions League 2018/2019 Ricardo Lourenço 03/20/2019 analysis of variance statistical methods groups anova post-hoc data analysis hypothesis sport analytics soccer champions league Analysis of variance (ANOVA) is a general method of drawing conclusions regarding differences in population means when three or more comparison groups are involved. In this blog post we explore that in order to know the effect of position (goalkeeper, defender, midfielder or forward) on the height of soccer players.
What is simple regression analysis? Ricardo Lourenço 03/13/2019 regression analysis linear regression statistical methods data analytics (Simple) Linear Regression Analysis is concerned with specifying the relationship between a single numeric dependent variable (the value to be predicted) and one numeric independent variable (the predictor). This post intends to be a short introduction to Linear Regression Analysis.
