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 = 0.3 * weight + 14
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Reinhardt
3
72 kgTleubayev
6
70 kgBoev
12
74 kgNikolaev
15
66 kgPrevar
17
64 kgVasylyuk
19
65 kgVasilyev
20
70 kgFirsanov
25
58 kgZakharov
32
70 kgTopchanyuk
42
65 kgGrigorev
45
73 kgKozhatayev
53
62 kgKatyrin
59
65 kgBizhigitov
75
76 kgWerda
81
66 kgKochetkov
103
70 kg
3
72 kgTleubayev
6
70 kgBoev
12
74 kgNikolaev
15
66 kgPrevar
17
64 kgVasylyuk
19
65 kgVasilyev
20
70 kgFirsanov
25
58 kgZakharov
32
70 kgTopchanyuk
42
65 kgGrigorev
45
73 kgKozhatayev
53
62 kgKatyrin
59
65 kgBizhigitov
75
76 kgWerda
81
66 kgKochetkov
103
70 kg
Weight (KG) →
Result →
76
58
3
103
# | Rider | Weight (KG) |
---|---|---|
3 | REINHARDT Theo | 72 |
6 | TLEUBAYEV Ruslan | 70 |
12 | BOEV Igor | 74 |
15 | NIKOLAEV Sergey | 66 |
17 | PREVAR Oleksandr | 64 |
19 | VASYLYUK Andriy | 65 |
20 | VASILYEV Maksym | 70 |
25 | FIRSANOV Sergey | 58 |
32 | ZAKHAROV Artyom | 70 |
42 | TOPCHANYUK Artem | 65 |
45 | GRIGOREV Aleksandr | 73 |
53 | KOZHATAYEV Bakhtiyar | 62 |
59 | KATYRIN Roman | 65 |
75 | BIZHIGITOV Zhandos | 76 |
81 | WERDA Maximilian | 66 |
103 | KOCHETKOV Pavel | 70 |