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 + 28
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Bennett
1
73 kgBouhanni
2
65 kgDegenkolb
3
82 kgKoch
4
75 kgVorganov
5
65 kgSanz
6
67 kgBauer
7
74 kgMinnaard
8
65 kgSchelling
9
61 kgNavardauskas
10
79 kgSütterlin
11
78 kgde Maar
12
70 kgDowsett
13
75 kgCapecchi
15
65 kgSinkeldam
16
77 kgNiyonshuti
17
63 kgAntonini
18
75 kgKoep
19
78 kgvan Genechten
21
67 kgMachado
22
63 kgWillwohl
23
67 kgBerger
24
66 kg
1
73 kgBouhanni
2
65 kgDegenkolb
3
82 kgKoch
4
75 kgVorganov
5
65 kgSanz
6
67 kgBauer
7
74 kgMinnaard
8
65 kgSchelling
9
61 kgNavardauskas
10
79 kgSütterlin
11
78 kgde Maar
12
70 kgDowsett
13
75 kgCapecchi
15
65 kgSinkeldam
16
77 kgNiyonshuti
17
63 kgAntonini
18
75 kgKoep
19
78 kgvan Genechten
21
67 kgMachado
22
63 kgWillwohl
23
67 kgBerger
24
66 kg
Weight (KG) →
Result →
82
61
1
24
# | Rider | Weight (KG) |
---|---|---|
1 | BENNETT Sam | 73 |
2 | BOUHANNI Nacer | 65 |
3 | DEGENKOLB John | 82 |
4 | KOCH Jonas | 75 |
5 | VORGANOV Eduard | 65 |
6 | SANZ Enrique | 67 |
7 | BAUER Jack | 74 |
8 | MINNAARD Marco | 65 |
9 | SCHELLING Patrick | 61 |
10 | NAVARDAUSKAS Ramūnas | 79 |
11 | SÜTTERLIN Jasha | 78 |
12 | DE MAAR Marc | 70 |
13 | DOWSETT Alex | 75 |
15 | CAPECCHI Eros | 65 |
16 | SINKELDAM Ramon | 77 |
17 | NIYONSHUTI Adrien | 63 |
18 | ANTONINI Simone | 75 |
19 | KOEP Thomas | 78 |
21 | VAN GENECHTEN Jonas | 67 |
22 | MACHADO Tiago | 63 |
23 | WILLWOHL Willi | 67 |
24 | BERGER Leon | 66 |