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 = 1.1 * weight - 44
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Rougier-Lagane
2
69 kgStedman
5
54 kgBennett
7
58 kgMuhoza
8
62 kgReguigui
9
69 kgBudiak
10
53 kgMeiser
11
70 kgBerhane
13
66 kgMayer
15
64 kgParashchak
21
66 kgRostovtsev
23
73 kgCross
24
65 kgMatombé
27
63 kgMayer
35
63 kgLacaille
39
58 kgMat Amin
42
54 kgBrutyn
46
73 kgGreen
49
70 kgSoula
52
68 kgPahlke
54
71 kgDuval
68
67 kgErnesta
69
70 kg
2
69 kgStedman
5
54 kgBennett
7
58 kgMuhoza
8
62 kgReguigui
9
69 kgBudiak
10
53 kgMeiser
11
70 kgBerhane
13
66 kgMayer
15
64 kgParashchak
21
66 kgRostovtsev
23
73 kgCross
24
65 kgMatombé
27
63 kgMayer
35
63 kgLacaille
39
58 kgMat Amin
42
54 kgBrutyn
46
73 kgGreen
49
70 kgSoula
52
68 kgPahlke
54
71 kgDuval
68
67 kgErnesta
69
70 kg
Weight (KG) →
Result →
73
53
2
69
| # | 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 | BUDIAK Anatolii | 53 |
| 11 | MEISER Philip | 70 |
| 13 | BERHANE Natnael | 66 |
| 15 | MAYER Alexandre | 64 |
| 21 | PARASHCHAK Yaroslav | 66 |
| 23 | ROSTOVTSEV Sergey | 73 |
| 24 | CROSS Eugene | 65 |
| 27 | MATOMBÉ Hanson | 63 |
| 35 | MAYER Gregory | 63 |
| 39 | LACAILLE Charlie | 58 |
| 42 | MAT AMIN Mohd Shahrul | 54 |
| 46 | BRUTYN Simon | 73 |
| 49 | GREEN Siméon | 70 |
| 52 | SOULA Guillaume | 68 |
| 54 | PAHLKE Jasper Levi | 71 |
| 68 | DUVAL Gwendy | 67 |
| 69 | ERNESTA Joseph Mario | 70 |