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2011   »   Grand Prix of Moscow (1.2)

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Regression line on weight and result

With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.

The formula for the regression line on the riders in the result is as follows:

result = 0.5 * weight + 19

This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
# Rider Weight (KG)
2 TSATEVICH Alexey64
3 SEREBRYAKOV Alexander70
4 NIKOLAEV Sergey66
8 TLEUBAYEV Ruslan70
10 STEVIĆ Ivan66
18 SHPILEVSKY Boris78
27 SAVITSKIY Ivan72
35 BĒCIS Armands82
36 ZHURKIN Nikolay77
48 PREVAR Oleksandr64
51 FLAKSIS Andžs79
54 SHILOV Sergey67
62 JOVANOVIĆ Nebojša60
69 TOPCHANYUK Artem65
70 BOEV Igor74
82 VASILYEV Maksym70
87 VOROBYEV Anton74
112 VASYLYUK Andriy65
121 FORKE Sebastian78
122 KUZNETSOV Viacheslav70