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 = -3.6 * weight + 260
This means that on average for every extra kilogram weight a rider loses -3.6 positions in the result.
Treier
3
62 kgBurchenkova
4
67 kgMartisova
11
64 kgMajerus
14
56 kgRyan
20
59 kgJasinska
23
57 kgD'hoore
28
63 kgBeveridge
29
55 kgCant
35
57 kgCanuel
36
51 kgDe Groot
40
56 kgDe Vocht
57
61 kgEnsing
64
62 kgLópez
77
54 kgStander
81
57 kgKitchen
87
60 kgVekemans
88
52 kgHagiwara
89
52 kgAntoshina
98
55 kgStultiens
103
58 kgHenttala
112
58 kg
3
62 kgBurchenkova
4
67 kgMartisova
11
64 kgMajerus
14
56 kgRyan
20
59 kgJasinska
23
57 kgD'hoore
28
63 kgBeveridge
29
55 kgCant
35
57 kgCanuel
36
51 kgDe Groot
40
56 kgDe Vocht
57
61 kgEnsing
64
62 kgLópez
77
54 kgStander
81
57 kgKitchen
87
60 kgVekemans
88
52 kgHagiwara
89
52 kgAntoshina
98
55 kgStultiens
103
58 kgHenttala
112
58 kg
Weight (KG) →
Result →
67
51
3
112
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | TREIER Grete | 62 |
| 4 | BURCHENKOVA Alexandra | 67 |
| 11 | MARTISOVA Julia | 64 |
| 14 | MAJERUS Christine | 56 |
| 20 | RYAN Kendall | 59 |
| 23 | JASINSKA Małgorzata | 57 |
| 28 | D'HOORE Jolien | 63 |
| 29 | BEVERIDGE Julie | 55 |
| 35 | CANT Sanne | 57 |
| 36 | CANUEL Karol-Ann | 51 |
| 40 | DE GROOT Robyn | 56 |
| 57 | DE VOCHT Liesbet | 61 |
| 64 | ENSING Janneke | 62 |
| 77 | LÓPEZ Belén | 54 |
| 81 | STANDER Marissa | 57 |
| 87 | KITCHEN Lauren | 60 |
| 88 | VEKEMANS Anisha | 52 |
| 89 | HAGIWARA Mayuko | 52 |
| 98 | ANTOSHINA Tatiana | 55 |
| 103 | STULTIENS Sabrina | 58 |
| 112 | HENTTALA Lotta | 58 |