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 = -1.7 * weight + 134
This means that on average for every extra kilogram weight a rider loses -1.7 positions in the result.
Antoshina
2
55 kgTreier
3
62 kgBurchenkova
4
67 kgDe Vocht
5
61 kgBeveridge
6
55 kgCant
8
57 kgCanuel
12
51 kgMartisova
17
64 kgEnsing
24
62 kgVekemans
29
52 kgD'hoore
32
63 kgKitchen
36
60 kgJasinska
40
57 kgRyan
41
59 kgDe Groot
44
56 kgLópez
45
54 kgMajerus
59
56 kgHagiwara
62
52 kgStultiens
72
58 kgStander
115
57 kgHenttala
119
58 kg
2
55 kgTreier
3
62 kgBurchenkova
4
67 kgDe Vocht
5
61 kgBeveridge
6
55 kgCant
8
57 kgCanuel
12
51 kgMartisova
17
64 kgEnsing
24
62 kgVekemans
29
52 kgD'hoore
32
63 kgKitchen
36
60 kgJasinska
40
57 kgRyan
41
59 kgDe Groot
44
56 kgLópez
45
54 kgMajerus
59
56 kgHagiwara
62
52 kgStultiens
72
58 kgStander
115
57 kgHenttala
119
58 kg
Weight (KG) →
Result →
67
51
2
119
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ANTOSHINA Tatiana | 55 |
| 3 | TREIER Grete | 62 |
| 4 | BURCHENKOVA Alexandra | 67 |
| 5 | DE VOCHT Liesbet | 61 |
| 6 | BEVERIDGE Julie | 55 |
| 8 | CANT Sanne | 57 |
| 12 | CANUEL Karol-Ann | 51 |
| 17 | MARTISOVA Julia | 64 |
| 24 | ENSING Janneke | 62 |
| 29 | VEKEMANS Anisha | 52 |
| 32 | D'HOORE Jolien | 63 |
| 36 | KITCHEN Lauren | 60 |
| 40 | JASINSKA Małgorzata | 57 |
| 41 | RYAN Kendall | 59 |
| 44 | DE GROOT Robyn | 56 |
| 45 | LÓPEZ Belén | 54 |
| 59 | MAJERUS Christine | 56 |
| 62 | HAGIWARA Mayuko | 52 |
| 72 | STULTIENS Sabrina | 58 |
| 115 | STANDER Marissa | 57 |
| 119 | HENTTALA Lotta | 58 |