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 + 21
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Delettre
1
62 kgRobeet
2
75 kgWellens
3
71 kgKwiatkowski
4
68 kgHayter
5
70 kgGanna
6
83 kgBrunel
7
70 kgUrán
8
63 kgPerez
9
70 kgŘepa
10
71 kgPicoux
11
71 kgGougeard
12
70 kgLatour
13
66 kgNibali
14
65 kgBernal
15
60 kgCarisey
16
74 kgGroßschartner
17
64 kgHurel
18
66 kgPaquot
19
70 kgvan den Berg
21
72 kgBarthe
22
70 kgReza
23
71 kg
1
62 kgRobeet
2
75 kgWellens
3
71 kgKwiatkowski
4
68 kgHayter
5
70 kgGanna
6
83 kgBrunel
7
70 kgUrán
8
63 kgPerez
9
70 kgŘepa
10
71 kgPicoux
11
71 kgGougeard
12
70 kgLatour
13
66 kgNibali
14
65 kgBernal
15
60 kgCarisey
16
74 kgGroßschartner
17
64 kgHurel
18
66 kgPaquot
19
70 kgvan den Berg
21
72 kgBarthe
22
70 kgReza
23
71 kg
Weight (KG) →
Result →
83
60
1
23
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DELETTRE Alexandre | 62 |
| 2 | ROBEET Ludovic | 75 |
| 3 | WELLENS Tim | 71 |
| 4 | KWIATKOWSKI Michał | 68 |
| 5 | HAYTER Ethan | 70 |
| 6 | GANNA Filippo | 83 |
| 7 | BRUNEL Alexys | 70 |
| 8 | URÁN Rigoberto | 63 |
| 9 | PEREZ Anthony | 70 |
| 10 | ŘEPA Vojtěch | 71 |
| 11 | PICOUX Maximilien | 71 |
| 12 | GOUGEARD Alexis | 70 |
| 13 | LATOUR Pierre | 66 |
| 14 | NIBALI Vincenzo | 65 |
| 15 | BERNAL Egan | 60 |
| 16 | CARISEY Clément | 74 |
| 17 | GROßSCHARTNER Felix | 64 |
| 18 | HUREL Tony | 66 |
| 19 | PAQUOT Tom | 70 |
| 21 | VAN DEN BERG Lars | 72 |
| 22 | BARTHE Cyril | 70 |
| 23 | REZA Kévin | 71 |