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 + 34
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Maaskant
1
76 kgBoom
2
75 kgSchmitz
3
77 kgLeezer
4
76 kgWestra
5
74 kgVermeltfoort
7
85 kgGuarnieri
8
80 kgVeelers
13
75 kgCurvers
15
73 kgAaen Jørgensen
17
63 kgHonig
18
61 kgKruopis
22
80 kgNavardauskas
32
79 kgMol
34
83 kgvan Groen
35
69 kgBengsch
36
85 kgJanorschke
43
78 kgBommel
45
75 kgWalgien
50
78 kgHoffmann
54
65 kg
1
76 kgBoom
2
75 kgSchmitz
3
77 kgLeezer
4
76 kgWestra
5
74 kgVermeltfoort
7
85 kgGuarnieri
8
80 kgVeelers
13
75 kgCurvers
15
73 kgAaen Jørgensen
17
63 kgHonig
18
61 kgKruopis
22
80 kgNavardauskas
32
79 kgMol
34
83 kgvan Groen
35
69 kgBengsch
36
85 kgJanorschke
43
78 kgBommel
45
75 kgWalgien
50
78 kgHoffmann
54
65 kg
Weight (KG) →
Result →
85
61
1
54
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAASKANT Martijn | 76 |
| 2 | BOOM Lars | 75 |
| 3 | SCHMITZ Bram | 77 |
| 4 | LEEZER Tom | 76 |
| 5 | WESTRA Lieuwe | 74 |
| 7 | VERMELTFOORT Coen | 85 |
| 8 | GUARNIERI Jacopo | 80 |
| 13 | VEELERS Tom | 75 |
| 15 | CURVERS Roy | 73 |
| 17 | AAEN JØRGENSEN Jonas | 63 |
| 18 | HONIG Reinier | 61 |
| 22 | KRUOPIS Aidis | 80 |
| 32 | NAVARDAUSKAS Ramūnas | 79 |
| 34 | MOL Wouter | 83 |
| 35 | VAN GROEN Arnoud | 69 |
| 36 | BENGSCH Robert | 85 |
| 43 | JANORSCHKE Grischa | 78 |
| 45 | BOMMEL Henning | 75 |
| 50 | WALGIEN Jorrit | 78 |
| 54 | HOFFMANN Erik | 65 |