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 = 0.1 * weight + 29
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Antoshina
1
55 kgTreier
2
62 kgCanuel
4
51 kgDe Vocht
8
61 kgBurchenkova
10
67 kgCant
12
57 kgMajerus
13
56 kgMartisova
15
64 kgBeveridge
20
55 kgDe Groot
21
56 kgVekemans
27
52 kgKitchen
34
60 kgEnsing
36
62 kgHagiwara
39
52 kgRyan
52
59 kgStander
54
57 kgD'hoore
68
63 kgJasinska
82
57 kgStultiens
107
58 kgHenttala
110
58 kg
1
55 kgTreier
2
62 kgCanuel
4
51 kgDe Vocht
8
61 kgBurchenkova
10
67 kgCant
12
57 kgMajerus
13
56 kgMartisova
15
64 kgBeveridge
20
55 kgDe Groot
21
56 kgVekemans
27
52 kgKitchen
34
60 kgEnsing
36
62 kgHagiwara
39
52 kgRyan
52
59 kgStander
54
57 kgD'hoore
68
63 kgJasinska
82
57 kgStultiens
107
58 kgHenttala
110
58 kg
Weight (KG) →
Result →
67
51
1
110
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ANTOSHINA Tatiana | 55 |
| 2 | TREIER Grete | 62 |
| 4 | CANUEL Karol-Ann | 51 |
| 8 | DE VOCHT Liesbet | 61 |
| 10 | BURCHENKOVA Alexandra | 67 |
| 12 | CANT Sanne | 57 |
| 13 | MAJERUS Christine | 56 |
| 15 | MARTISOVA Julia | 64 |
| 20 | BEVERIDGE Julie | 55 |
| 21 | DE GROOT Robyn | 56 |
| 27 | VEKEMANS Anisha | 52 |
| 34 | KITCHEN Lauren | 60 |
| 36 | ENSING Janneke | 62 |
| 39 | HAGIWARA Mayuko | 52 |
| 52 | RYAN Kendall | 59 |
| 54 | STANDER Marissa | 57 |
| 68 | D'HOORE Jolien | 63 |
| 82 | JASINSKA Małgorzata | 57 |
| 107 | STULTIENS Sabrina | 58 |
| 110 | HENTTALA Lotta | 58 |