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 = 0.8 * weight - 21
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Rostovtsev
1
73 kgReguigui
4
69 kgMat Amin
6
54 kgStedman
11
54 kgBennett
13
58 kgBudyak
16
53 kgRougier-Lagane
17
69 kgMayer
21
64 kgBerhane
22
66 kgMuhoza
26
62 kgMeiser
30
70 kgMayer
36
63 kgParashchak
37
66 kgGreen
39
70 kgPahlke
45
71 kgSoula
46
68 kgMatombé
47
63 kgBrutyn
48
73 kgLacaille
49
58 kgCross
50
65 kgDuval
58
67 kg
1
73 kgReguigui
4
69 kgMat Amin
6
54 kgStedman
11
54 kgBennett
13
58 kgBudyak
16
53 kgRougier-Lagane
17
69 kgMayer
21
64 kgBerhane
22
66 kgMuhoza
26
62 kgMeiser
30
70 kgMayer
36
63 kgParashchak
37
66 kgGreen
39
70 kgPahlke
45
71 kgSoula
46
68 kgMatombé
47
63 kgBrutyn
48
73 kgLacaille
49
58 kgCross
50
65 kgDuval
58
67 kg
Weight (KG) →
Result →
73
53
1
58
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROSTOVTSEV Sergey | 73 |
| 4 | REGUIGUI Youcef | 69 |
| 6 | MAT AMIN Mohd Shahrul | 54 |
| 11 | STEDMAN Maximilian | 54 |
| 13 | BENNETT Stéfan | 58 |
| 16 | BUDYAK Anatoliy | 53 |
| 17 | ROUGIER-LAGANE Christopher | 69 |
| 21 | MAYER Alexandre | 64 |
| 22 | BERHANE Natnael | 66 |
| 26 | MUHOZA Eric | 62 |
| 30 | MEISER Philip | 70 |
| 36 | MAYER Gregory | 63 |
| 37 | PARASHCHAK Yaroslav | 66 |
| 39 | GREEN Siméon | 70 |
| 45 | PAHLKE Jasper Levi | 71 |
| 46 | SOULA Guillaume | 68 |
| 47 | MATOMBÉ Hanson | 63 |
| 48 | BRUTYN Simon | 73 |
| 49 | LACAILLE Charlie | 58 |
| 50 | CROSS Eugene | 65 |
| 58 | DUVAL Gwendy | 67 |