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 + 10
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Johansson
1
58 kgPučinskaitė
2
54 kgAndruk
4
56 kgMartisova
8
64 kgWilleit
12
54 kgJasinska
13
57 kgMartin
14
57 kgCanuel
19
51 kgBoyarskaya
21
67 kgBatagelj
23
53 kgLópez
26
54 kgBeveridge
28
55 kgKashchyshyna
33
53 kgDe Groot
35
56 kgBrammeier
39
60 kgHenrion
53
60 kgRiabchenko
57
57 kg
1
58 kgPučinskaitė
2
54 kgAndruk
4
56 kgMartisova
8
64 kgWilleit
12
54 kgJasinska
13
57 kgMartin
14
57 kgCanuel
19
51 kgBoyarskaya
21
67 kgBatagelj
23
53 kgLópez
26
54 kgBeveridge
28
55 kgKashchyshyna
33
53 kgDe Groot
35
56 kgBrammeier
39
60 kgHenrion
53
60 kgRiabchenko
57
57 kg
Weight (KG) →
Result →
67
51
1
57
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JOHANSSON Emma | 58 |
| 2 | PUČINSKAITĖ Edita | 54 |
| 4 | ANDRUK Alona | 56 |
| 8 | MARTISOVA Julia | 64 |
| 12 | WILLEIT Cherise | 54 |
| 13 | JASINSKA Małgorzata | 57 |
| 14 | MARTIN Lucy | 57 |
| 19 | CANUEL Karol-Ann | 51 |
| 21 | BOYARSKAYA Natalia | 67 |
| 23 | BATAGELJ Polona | 53 |
| 26 | LÓPEZ Belén | 54 |
| 28 | BEVERIDGE Julie | 55 |
| 33 | KASHCHYSHYNA Oksana | 53 |
| 35 | DE GROOT Robyn | 56 |
| 39 | BRAMMEIER Nikki | 60 |
| 53 | HENRION Ludivine | 60 |
| 57 | RIABCHENKO Tetyana | 57 |