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 = 0.2 * weight - 1
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Bravo
1
61 kgBernard
2
60 kgDe Marchi
3
65 kgVerona
4
68 kgIturria
5
69 kgMonfort
6
66 kgStorer
7
63 kgYates
8
58 kgMartínez
9
63 kgSchachmann
10
71 kgCarthy
11
69 kgAtapuma
12
59 kgHamilton
13
71 kgSkujiņš
14
70 kgKing
15
68 kgIzagirre
16
60 kgPogačar
17
66 kgRojas
18
70 kgWilliams
19
59 kg
1
61 kgBernard
2
60 kgDe Marchi
3
65 kgVerona
4
68 kgIturria
5
69 kgMonfort
6
66 kgStorer
7
63 kgYates
8
58 kgMartínez
9
63 kgSchachmann
10
71 kgCarthy
11
69 kgAtapuma
12
59 kgHamilton
13
71 kgSkujiņš
14
70 kgKing
15
68 kgIzagirre
16
60 kgPogačar
17
66 kgRojas
18
70 kgWilliams
19
59 kg
Weight (KG) →
Result →
71
58
1
19
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRAVO Garikoitz | 61 |
| 2 | BERNARD Julien | 60 |
| 3 | DE MARCHI Alessandro | 65 |
| 4 | VERONA Carlos | 68 |
| 5 | ITURRIA Mikel | 69 |
| 6 | MONFORT Maxime | 66 |
| 7 | STORER Michael | 63 |
| 8 | YATES Adam | 58 |
| 9 | MARTÍNEZ Daniel Felipe | 63 |
| 10 | SCHACHMANN Maximilian | 71 |
| 11 | CARTHY Hugh | 69 |
| 12 | ATAPUMA Darwin | 59 |
| 13 | HAMILTON Lucas | 71 |
| 14 | SKUJIŅŠ Toms | 70 |
| 15 | KING Ben | 68 |
| 16 | IZAGIRRE Ion | 60 |
| 17 | POGAČAR Tadej | 66 |
| 18 | ROJAS José Joaquín | 70 |
| 19 | WILLIAMS Stephen | 59 |