澳洲动画学论文代写：足球运动员分析

澳洲动画学论文代写：足球运动员分析

析试图确定一个足球运动员和他的年龄进球的数量之间的关系。虽然这一步的分析看起来很简单，但忽视足球比赛中进球影响的其他因素并不十分谨慎。在文献综述中，有几个因素会影响足球运动员的表现。然而，这种分析只集中其中一些。在分析中包含的独立变量是出现在足球比赛，年龄，他们的球队，他们的国家，他们的立场作为一个层。因变量明显是比赛中进球数。分析进一步假设，没有任何其他位置的位置有任何独特的优势或劣势。

分析的主要重点是确定的目标得分与年龄的关系。这是通过一步一步的过程中的文件。第一个计算忽略了次要因素，可能会影响目标得分。这里也有两种可能性：首先是通过简单的相关性分析对两个变量进行：进球得分和球员年龄。这种分析进一步分类的基础上，他们属于国家，发挥位置和团队。然而，由于只有澳大利亚有一个显着良好的球员数在收集的数据，该国具体的分析是只为澳大利亚。数据只包含了两组：WSW和新城堡的飞机。因此，这种相关性分析进行了两类容易。位置相关分析进行了具有至少十五个数据点的位置。对进攻中场、中卫、中场和前锋的位置进行了分析。第二个分析是通过回归忽略和保持常数项。

澳洲动画学论文代写：足球运动员分析

The analysis tries to determine the relation between number of goals scored by a football player and his age. While the analysis in this step appears straightforward, it is not very prudent to ignore other factors that influence goal scoring in a football match. There can be several factors that affect the performance of a football player as enumerated in the literature review. However, this analysis focuses on only some of them. The independent variables included in the analysis are appearances in the football matches, age, their teams, their nations, and their position as a layer. The dependent variable is obviously the number of goals scored in the match. The analysis further assumes that no playing position has any distinctive advantage or disadvantage with respect to other positions.

The prime focus of the analysis is to determine the relation of the goal scoring with age. This is done in the paper through a step wise process. The first calculation is done ignoring the secondary factors that might influence the goal scoring. Here also, there are two possibilities: first is carried out through a simple correlation analysis of the two variables: goals scored and age of the player. This analysis is further classified on the basis of the country they belong to, playing position and teams. However, since only Australia has a significantly good number of players in the collected data, the country specific analysis is done only for Australia. The data contains only two teams: WSW and New Castle Jets. So, this correlation analysis was carried out easily in two categories. The positional correlation analysis was carried out for the positions having at least fifteen data points. So the analysis has been carried out for the positions of attacking midfielder, central defender, central midfielder and striker. The second analysis is carried out through regression by ignoring and keeping the constant terms.