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 + 20
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Samitier
1
63 kgCepeda
2
56 kgKämna
3
65 kgPedrero
4
60 kgRodríguez
5
63 kgCarr
6
66 kgCovili
7
58 kgBuitrago
8
59 kgPellizzari
9
66 kgSütterlin
10
78 kgGeoghegan Hart
11
65 kgHaig
12
67 kgSivakov
13
70 kgde Bod
14
66 kgTræen
15
63 kgSteinhauser
16
65 kgFabbro
17
52 kgParra
18
55 kgParet-Peintre
19
52 kgMühlberger
20
64 kgMulubrhan
21
60 kgHollmann
22
70 kgGarosio
23
58 kg
1
63 kgCepeda
2
56 kgKämna
3
65 kgPedrero
4
60 kgRodríguez
5
63 kgCarr
6
66 kgCovili
7
58 kgBuitrago
8
59 kgPellizzari
9
66 kgSütterlin
10
78 kgGeoghegan Hart
11
65 kgHaig
12
67 kgSivakov
13
70 kgde Bod
14
66 kgTræen
15
63 kgSteinhauser
16
65 kgFabbro
17
52 kgParra
18
55 kgParet-Peintre
19
52 kgMühlberger
20
64 kgMulubrhan
21
60 kgHollmann
22
70 kgGarosio
23
58 kg
Weight (KG) →
Result →
78
52
1
23
# | Rider | Weight (KG) |
---|---|---|
1 | SAMITIER Sergio | 63 |
2 | CEPEDA Jefferson Alexander | 56 |
3 | KÄMNA Lennard | 65 |
4 | PEDRERO Antonio | 60 |
5 | RODRÍGUEZ Óscar | 63 |
6 | CARR Simon | 66 |
7 | COVILI Luca | 58 |
8 | BUITRAGO Santiago | 59 |
9 | PELLIZZARI Giulio | 66 |
10 | SÜTTERLIN Jasha | 78 |
11 | GEOGHEGAN HART Tao | 65 |
12 | HAIG Jack | 67 |
13 | SIVAKOV Pavel | 70 |
14 | DE BOD Stefan | 66 |
15 | TRÆEN Torstein | 63 |
16 | STEINHAUSER Georg | 65 |
17 | FABBRO Matteo | 52 |
18 | PARRA José Félix | 55 |
19 | PARET-PEINTRE Valentin | 52 |
20 | MÜHLBERGER Gregor | 64 |
21 | MULUBRHAN Henok | 60 |
22 | HOLLMANN Juri | 70 |
23 | GAROSIO Andrea | 58 |