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 - 25
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Rougier-Lagane
2
69 kgStedman
5
54 kgBennett
7
58 kgMuhoza
8
62 kgReguigui
9
69 kgBudyak
10
53 kgMeiser
11
70 kgBerhane
13
66 kgMayer
14
64 kgParashchak
21
66 kgRostovtsev
22
73 kgCross
27
65 kgMatombé
30
63 kgMayer
33
63 kgMat Amin
37
54 kgLacaille
43
58 kgGreen
45
70 kgBrutyn
46
73 kgSoula
47
68 kgPahlke
50
71 kgDuval
58
67 kg
2
69 kgStedman
5
54 kgBennett
7
58 kgMuhoza
8
62 kgReguigui
9
69 kgBudyak
10
53 kgMeiser
11
70 kgBerhane
13
66 kgMayer
14
64 kgParashchak
21
66 kgRostovtsev
22
73 kgCross
27
65 kgMatombé
30
63 kgMayer
33
63 kgMat Amin
37
54 kgLacaille
43
58 kgGreen
45
70 kgBrutyn
46
73 kgSoula
47
68 kgPahlke
50
71 kgDuval
58
67 kg
Weight (KG) →
Result →
73
53
2
58
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ROUGIER-LAGANE Christopher | 69 |
| 5 | STEDMAN Maximilian | 54 |
| 7 | BENNETT Stéfan | 58 |
| 8 | MUHOZA Eric | 62 |
| 9 | REGUIGUI Youcef | 69 |
| 10 | BUDYAK Anatoliy | 53 |
| 11 | MEISER Philip | 70 |
| 13 | BERHANE Natnael | 66 |
| 14 | MAYER Alexandre | 64 |
| 21 | PARASHCHAK Yaroslav | 66 |
| 22 | ROSTOVTSEV Sergey | 73 |
| 27 | CROSS Eugene | 65 |
| 30 | MATOMBÉ Hanson | 63 |
| 33 | MAYER Gregory | 63 |
| 37 | MAT AMIN Mohd Shahrul | 54 |
| 43 | LACAILLE Charlie | 58 |
| 45 | GREEN Siméon | 70 |
| 46 | BRUTYN Simon | 73 |
| 47 | SOULA Guillaume | 68 |
| 50 | PAHLKE Jasper Levi | 71 |
| 58 | DUVAL Gwendy | 67 |