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 + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Schachmann
1
71 kgNizzolo
2
72 kgAlaphilippe
3
62 kgBenoot
4
72 kgPolitt
5
80 kgTeuns
6
64 kgAckermann
7
78 kgHiguita
8
57 kgStuyven
9
78 kgBol
10
83 kgWürtz Schmidt
11
70 kgGroßschartner
12
64 kgNibali
13
65 kgDíaz
14
64 kgHivert
15
62 kgNeilands
16
69 kgMolard
17
62 kgSagan
18
78 kgGarcía Cortina
19
77 kgBilbao
20
60 kgLampaert
21
75 kg
1
71 kgNizzolo
2
72 kgAlaphilippe
3
62 kgBenoot
4
72 kgPolitt
5
80 kgTeuns
6
64 kgAckermann
7
78 kgHiguita
8
57 kgStuyven
9
78 kgBol
10
83 kgWürtz Schmidt
11
70 kgGroßschartner
12
64 kgNibali
13
65 kgDíaz
14
64 kgHivert
15
62 kgNeilands
16
69 kgMolard
17
62 kgSagan
18
78 kgGarcía Cortina
19
77 kgBilbao
20
60 kgLampaert
21
75 kg
Weight (KG) →
Result →
83
57
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHACHMANN Maximilian | 71 |
| 2 | NIZZOLO Giacomo | 72 |
| 3 | ALAPHILIPPE Julian | 62 |
| 4 | BENOOT Tiesj | 72 |
| 5 | POLITT Nils | 80 |
| 6 | TEUNS Dylan | 64 |
| 7 | ACKERMANN Pascal | 78 |
| 8 | HIGUITA Sergio | 57 |
| 9 | STUYVEN Jasper | 78 |
| 10 | BOL Cees | 83 |
| 11 | WÜRTZ SCHMIDT Mads | 70 |
| 12 | GROßSCHARTNER Felix | 64 |
| 13 | NIBALI Vincenzo | 65 |
| 14 | DÍAZ José Manuel | 64 |
| 15 | HIVERT Jonathan | 62 |
| 16 | NEILANDS Krists | 69 |
| 17 | MOLARD Rudy | 62 |
| 18 | SAGAN Peter | 78 |
| 19 | GARCÍA CORTINA Iván | 77 |
| 20 | BILBAO Pello | 60 |
| 21 | LAMPAERT Yves | 75 |