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 = -3.3 * weight + 274
This means that on average for every extra kilogram weight a rider loses -3.3 positions in the result.
Huitema
10
72 kgGrindley
12
72 kgJust Pedersen
14
80 kgBauwens
15
71 kgJackowiak
20
65 kgHemeryck
32
72 kgMartinet
40
66 kgSchwartz
44
69 kgChaleil
46
68 kgZomermaand
55
67 kgLefevre
72
75 kgRaus
73
73 kgCappon
81
62 kgDebeaussaert
84
63 kgBoussemaere
87
56 kgBosmans
91
65 kgGravelle
98
62 kg
10
72 kgGrindley
12
72 kgJust Pedersen
14
80 kgBauwens
15
71 kgJackowiak
20
65 kgHemeryck
32
72 kgMartinet
40
66 kgSchwartz
44
69 kgChaleil
46
68 kgZomermaand
55
67 kgLefevre
72
75 kgRaus
73
73 kgCappon
81
62 kgDebeaussaert
84
63 kgBoussemaere
87
56 kgBosmans
91
65 kgGravelle
98
62 kg
Weight (KG) →
Result →
80
56
10
98
| # | Rider | Weight (KG) |
|---|---|---|
| 10 | HUITEMA Thomas | 72 |
| 12 | GRINDLEY Sebastian | 72 |
| 14 | JUST PEDERSEN Carl Emil | 80 |
| 15 | BAUWENS Siebe | 71 |
| 20 | JACKOWIAK Jan Michal | 65 |
| 32 | HEMERYCK Wout | 72 |
| 40 | MARTINET Valentin | 66 |
| 44 | SCHWARTZ Simon | 69 |
| 46 | CHALEIL Louis | 68 |
| 55 | ZOMERMAAND Jurgen | 67 |
| 72 | LEFEVRE Fabrice | 75 |
| 73 | RAUS Jérôme | 73 |
| 81 | CAPPON Staf | 62 |
| 84 | DEBEAUSSAERT Michiel | 63 |
| 87 | BOUSSEMAERE Louic | 56 |
| 91 | BOSMANS Thibau | 65 |
| 98 | GRAVELLE Rory | 62 |