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 = 0.2 * weight + 26
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Maikin
2
68 kgBazhkou
4
65 kgNikitin
12
61 kgBakker
13
79 kgErshov
16
70 kgMazur
18
78 kgKurianov
26
56 kgSidorov
33
62 kgTrusov
38
77 kgPanassenko
40
69 kgZubov
44
72 kgStrokau
47
74 kgLavrentyev
52
88 kgVaubourzeix
56
70 kgNobel
61
78 kgFatkullin
62
62 kgZhurkin
68
77 kgShumov
71
65 kgMiraliyev
74
68 kgKomin
81
63 kg
2
68 kgBazhkou
4
65 kgNikitin
12
61 kgBakker
13
79 kgErshov
16
70 kgMazur
18
78 kgKurianov
26
56 kgSidorov
33
62 kgTrusov
38
77 kgPanassenko
40
69 kgZubov
44
72 kgStrokau
47
74 kgLavrentyev
52
88 kgVaubourzeix
56
70 kgNobel
61
78 kgFatkullin
62
62 kgZhurkin
68
77 kgShumov
71
65 kgMiraliyev
74
68 kgKomin
81
63 kg
Weight (KG) →
Result →
88
56
2
81
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MAIKIN Roman | 68 |
| 4 | BAZHKOU Stanislau | 65 |
| 12 | NIKITIN Matvey | 61 |
| 13 | BAKKER Björn | 79 |
| 16 | ERSHOV Artur | 70 |
| 18 | MAZUR Dzianis | 78 |
| 26 | KURIANOV Sergei | 56 |
| 33 | SIDOROV Igor | 62 |
| 38 | TRUSOV Nikolay | 77 |
| 40 | PANASSENKO Nikita | 69 |
| 44 | ZUBOV Matvey | 72 |
| 47 | STROKAU Vasili | 74 |
| 52 | LAVRENTYEV Anton | 88 |
| 56 | VAUBOURZEIX Thomas | 70 |
| 61 | NOBEL Rick | 78 |
| 62 | FATKULLIN Valerii | 62 |
| 68 | ZHURKIN Nikolay | 77 |
| 71 | SHUMOV Nikolai | 65 |
| 74 | MIRALIYEV Sultanmurat | 68 |
| 81 | KOMIN Aleksandr | 63 |