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 + 48
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Canuel
2
51 kgDe Vocht
6
61 kgMartisova
7
64 kgAntoshina
8
55 kgTreier
10
62 kgBurchenkova
17
67 kgBeveridge
21
55 kgVekemans
23
52 kgMajerus
25
56 kgCant
30
57 kgDe Groot
36
56 kgJasinska
37
57 kgHagiwara
38
52 kgD'hoore
39
63 kgEnsing
45
62 kgLópez
47
54 kgKitchen
49
60 kgRyan
62
59 kgStultiens
76
58 kgStander
83
57 kgHenttala
116
58 kg
2
51 kgDe Vocht
6
61 kgMartisova
7
64 kgAntoshina
8
55 kgTreier
10
62 kgBurchenkova
17
67 kgBeveridge
21
55 kgVekemans
23
52 kgMajerus
25
56 kgCant
30
57 kgDe Groot
36
56 kgJasinska
37
57 kgHagiwara
38
52 kgD'hoore
39
63 kgEnsing
45
62 kgLópez
47
54 kgKitchen
49
60 kgRyan
62
59 kgStultiens
76
58 kgStander
83
57 kgHenttala
116
58 kg
Weight (KG) →
Result →
67
51
2
116
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CANUEL Karol-Ann | 51 |
| 6 | DE VOCHT Liesbet | 61 |
| 7 | MARTISOVA Julia | 64 |
| 8 | ANTOSHINA Tatiana | 55 |
| 10 | TREIER Grete | 62 |
| 17 | BURCHENKOVA Alexandra | 67 |
| 21 | BEVERIDGE Julie | 55 |
| 23 | VEKEMANS Anisha | 52 |
| 25 | MAJERUS Christine | 56 |
| 30 | CANT Sanne | 57 |
| 36 | DE GROOT Robyn | 56 |
| 37 | JASINSKA Małgorzata | 57 |
| 38 | HAGIWARA Mayuko | 52 |
| 39 | D'HOORE Jolien | 63 |
| 45 | ENSING Janneke | 62 |
| 47 | LÓPEZ Belén | 54 |
| 49 | KITCHEN Lauren | 60 |
| 62 | RYAN Kendall | 59 |
| 76 | STULTIENS Sabrina | 58 |
| 83 | STANDER Marissa | 57 |
| 116 | HENTTALA Lotta | 58 |