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:
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.
Tsatevich
2
64 kgSerebryakov
3
70 kgNikolaev
4
66 kgTleubayev
8
70 kgStević
10
66 kgShpilevsky
18
78 kgSavitskiy
27
72 kgBēcis
35
82 kgZhurkin
36
77 kgPrevar
48
64 kgFlaksis
51
79 kgShilov
54
67 kgJovanović
62
60 kgTopchanyuk
69
65 kgBoev
70
74 kgVasilyev
82
70 kgVorobyev
87
74 kgVasylyuk
112
65 kgForke
121
78 kgKuznetsov
122
70 kg
2
64 kgSerebryakov
3
70 kgNikolaev
4
66 kgTleubayev
8
70 kgStević
10
66 kgShpilevsky
18
78 kgSavitskiy
27
72 kgBēcis
35
82 kgZhurkin
36
77 kgPrevar
48
64 kgFlaksis
51
79 kgShilov
54
67 kgJovanović
62
60 kgTopchanyuk
69
65 kgBoev
70
74 kgVasilyev
82
70 kgVorobyev
87
74 kgVasylyuk
112
65 kgForke
121
78 kgKuznetsov
122
70 kg
Weight (KG) →
Result →
82
60
2
122
# | Rider | Weight (KG) |
---|---|---|
2 | TSATEVICH Alexey | 64 |
3 | SEREBRYAKOV Alexander | 70 |
4 | NIKOLAEV Sergey | 66 |
8 | TLEUBAYEV Ruslan | 70 |
10 | STEVIĆ Ivan | 66 |
18 | SHPILEVSKY Boris | 78 |
27 | SAVITSKIY Ivan | 72 |
35 | BĒCIS Armands | 82 |
36 | ZHURKIN Nikolay | 77 |
48 | PREVAR Oleksandr | 64 |
51 | FLAKSIS Andžs | 79 |
54 | SHILOV Sergey | 67 |
62 | JOVANOVIĆ Nebojša | 60 |
69 | TOPCHANYUK Artem | 65 |
70 | BOEV Igor | 74 |
82 | VASILYEV Maksym | 70 |
87 | VOROBYEV Anton | 74 |
112 | VASYLYUK Andriy | 65 |
121 | FORKE Sebastian | 78 |
122 | KUZNETSOV Viacheslav | 70 |