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 = 1.2 * weight - 44
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Berhane
1
66 kgRougier-Lagane
2
69 kgMuhoza
6
62 kgReguigui
7
69 kgStedman
9
54 kgBudyak
10
53 kgMeiser
11
70 kgBennett
12
58 kgMayer
19
64 kgMatombé
28
63 kgParashchak
29
66 kgCross
30
65 kgMayer
33
63 kgRostovtsev
41
73 kgMat Amin
46
54 kgBrutyn
49
73 kgLacaille
50
58 kgGreen
52
70 kgPahlke
58
71 kgSoula
59
68 kgDuval
67
67 kgErnesta
69
70 kg
1
66 kgRougier-Lagane
2
69 kgMuhoza
6
62 kgReguigui
7
69 kgStedman
9
54 kgBudyak
10
53 kgMeiser
11
70 kgBennett
12
58 kgMayer
19
64 kgMatombé
28
63 kgParashchak
29
66 kgCross
30
65 kgMayer
33
63 kgRostovtsev
41
73 kgMat Amin
46
54 kgBrutyn
49
73 kgLacaille
50
58 kgGreen
52
70 kgPahlke
58
71 kgSoula
59
68 kgDuval
67
67 kgErnesta
69
70 kg
Weight (KG) →
Result →
73
53
1
69
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BERHANE Natnael | 66 |
| 2 | ROUGIER-LAGANE Christopher | 69 |
| 6 | MUHOZA Eric | 62 |
| 7 | REGUIGUI Youcef | 69 |
| 9 | STEDMAN Maximilian | 54 |
| 10 | BUDYAK Anatoliy | 53 |
| 11 | MEISER Philip | 70 |
| 12 | BENNETT Stéfan | 58 |
| 19 | MAYER Alexandre | 64 |
| 28 | MATOMBÉ Hanson | 63 |
| 29 | PARASHCHAK Yaroslav | 66 |
| 30 | CROSS Eugene | 65 |
| 33 | MAYER Gregory | 63 |
| 41 | ROSTOVTSEV Sergey | 73 |
| 46 | MAT AMIN Mohd Shahrul | 54 |
| 49 | BRUTYN Simon | 73 |
| 50 | LACAILLE Charlie | 58 |
| 52 | GREEN Siméon | 70 |
| 58 | PAHLKE Jasper Levi | 71 |
| 59 | SOULA Guillaume | 68 |
| 67 | DUVAL Gwendy | 67 |
| 69 | ERNESTA Joseph Mario | 70 |