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 = 0.1 * weight - 4
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Cross
1
65 kgStedman
1
54 kgLacaille
1
58 kgMeiser
2
70 kgMuhoza
2
62 kgPahlke
2
71 kgMatombé
3
63 kgMayer
3
64 kgMayer
3
63 kgRougier-Lagane
3
69 kgParashchak
5
66 kgBerhane
5
66 kgRostovtsev
5
73 kgGreen
6
70 kgBennett
6
58 kgSoula
6
68 kgReguigui
7
69 kgMat Amin
7
54 kgBudyak
7
53 kgBrutyn
10
73 kgDuval
12
67 kgErnesta
14
70 kg
1
65 kgStedman
1
54 kgLacaille
1
58 kgMeiser
2
70 kgMuhoza
2
62 kgPahlke
2
71 kgMatombé
3
63 kgMayer
3
64 kgMayer
3
63 kgRougier-Lagane
3
69 kgParashchak
5
66 kgBerhane
5
66 kgRostovtsev
5
73 kgGreen
6
70 kgBennett
6
58 kgSoula
6
68 kgReguigui
7
69 kgMat Amin
7
54 kgBudyak
7
53 kgBrutyn
10
73 kgDuval
12
67 kgErnesta
14
70 kg
Weight (KG) →
Result →
73
53
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CROSS Eugene | 65 |
| 1 | STEDMAN Maximilian | 54 |
| 1 | LACAILLE Charlie | 58 |
| 2 | MEISER Philip | 70 |
| 2 | MUHOZA Eric | 62 |
| 2 | PAHLKE Jasper Levi | 71 |
| 3 | MATOMBÉ Hanson | 63 |
| 3 | MAYER Alexandre | 64 |
| 3 | MAYER Gregory | 63 |
| 3 | ROUGIER-LAGANE Christopher | 69 |
| 5 | PARASHCHAK Yaroslav | 66 |
| 5 | BERHANE Natnael | 66 |
| 5 | ROSTOVTSEV Sergey | 73 |
| 6 | GREEN Siméon | 70 |
| 6 | BENNETT Stéfan | 58 |
| 6 | SOULA Guillaume | 68 |
| 7 | REGUIGUI Youcef | 69 |
| 7 | MAT AMIN Mohd Shahrul | 54 |
| 7 | BUDYAK Anatoliy | 53 |
| 10 | BRUTYN Simon | 73 |
| 12 | DUVAL Gwendy | 67 |
| 14 | ERNESTA Joseph Mario | 70 |