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 = -0.5 * weight + 42
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Martinelli
1
71 kgGaviria
2
71 kgEwan
3
69 kgŠtybar
4
68 kgHofland
5
71 kgGilbert
6
75 kgReza
7
71 kgKwiatkowski
8
68 kgWellens
9
71 kgModolo
10
67 kgManzin
11
69 kgBenoot
12
72 kgArndt
13
77.5 kgMaikin
14
68 kgFernández
15
60 kgBonifazio
16
72 kgChernetski
17
63 kgFranczak
18
63 kgReguigui
19
69 kgGerts
20
71 kg
1
71 kgGaviria
2
71 kgEwan
3
69 kgŠtybar
4
68 kgHofland
5
71 kgGilbert
6
75 kgReza
7
71 kgKwiatkowski
8
68 kgWellens
9
71 kgModolo
10
67 kgManzin
11
69 kgBenoot
12
72 kgArndt
13
77.5 kgMaikin
14
68 kgFernández
15
60 kgBonifazio
16
72 kgChernetski
17
63 kgFranczak
18
63 kgReguigui
19
69 kgGerts
20
71 kg
Weight (KG) →
Result →
77.5
60
1
20
# | Rider | Weight (KG) |
---|---|---|
1 | MARTINELLI Davide | 71 |
2 | GAVIRIA Fernando | 71 |
3 | EWAN Caleb | 69 |
4 | ŠTYBAR Zdeněk | 68 |
5 | HOFLAND Moreno | 71 |
6 | GILBERT Philippe | 75 |
7 | REZA Kévin | 71 |
8 | KWIATKOWSKI Michał | 68 |
9 | WELLENS Tim | 71 |
10 | MODOLO Sacha | 67 |
11 | MANZIN Lorrenzo | 69 |
12 | BENOOT Tiesj | 72 |
13 | ARNDT Nikias | 77.5 |
14 | MAIKIN Roman | 68 |
15 | FERNÁNDEZ Rubén | 60 |
16 | BONIFAZIO Niccolò | 72 |
17 | CHERNETSKI Sergei | 63 |
18 | FRANCZAK Paweł | 63 |
19 | REGUIGUI Youcef | 69 |
20 | GERTS Floris | 71 |