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:
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Matias
1
72 kgGaudu
2
53 kgDe Bondt
3
73 kgHayter
4
70 kgMcNulty
5
69 kgCastroviejo
6
62 kgHiguita
7
57 kgTulett
8
56 kgMartínez
9
63 kgNeves
10
61 kgZimmermann
12
70 kgLourenço
14
67 kgNicolau
15
66 kgLampaert
16
75 kgEvenepoel
17
61 kgDelaplace
18
65 kgOliveira
19
68 kgMurguialday
20
57 kgMartingil
21
67 kgCaldeira
23
76 kg
1
72 kgGaudu
2
53 kgDe Bondt
3
73 kgHayter
4
70 kgMcNulty
5
69 kgCastroviejo
6
62 kgHiguita
7
57 kgTulett
8
56 kgMartínez
9
63 kgNeves
10
61 kgZimmermann
12
70 kgLourenço
14
67 kgNicolau
15
66 kgLampaert
16
75 kgEvenepoel
17
61 kgDelaplace
18
65 kgOliveira
19
68 kgMurguialday
20
57 kgMartingil
21
67 kgCaldeira
23
76 kg
Weight (KG) →
Result →
76
53
1
23
# | Rider | Weight (KG) |
---|---|---|
1 | MATIAS João | 72 |
2 | GAUDU David | 53 |
3 | DE BONDT Dries | 73 |
4 | HAYTER Ethan | 70 |
5 | MCNULTY Brandon | 69 |
6 | CASTROVIEJO Jonathan | 62 |
7 | HIGUITA Sergio | 57 |
8 | TULETT Ben | 56 |
9 | MARTÍNEZ Daniel Felipe | 63 |
10 | NEVES José | 61 |
12 | ZIMMERMANN Georg | 70 |
14 | LOURENÇO Rafael | 67 |
15 | NICOLAU Joel | 66 |
16 | LAMPAERT Yves | 75 |
17 | EVENEPOEL Remco | 61 |
18 | DELAPLACE Anthony | 65 |
19 | OLIVEIRA Ivo | 68 |
20 | MURGUIALDAY Jokin | 57 |
21 | MARTINGIL César | 67 |
23 | CALDEIRA Samuel José | 76 |