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 + 22
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Johansson
2
58 kgMartin
3
57 kgWilleit
5
54 kgMartisova
12
64 kgBrammeier
15
60 kgBeveridge
20
55 kgBatagelj
26
53 kgCanuel
30
51 kgPučinskaitė
31
54 kgLópez
42
54 kgRiabchenko
47
57 kgJasinska
48
57 kgKashchyshyna
52
53 kgBoyarskaya
56
67 kgHenrion
58
60 kgDe Groot
70
56 kgAndruk
71
56 kg
2
58 kgMartin
3
57 kgWilleit
5
54 kgMartisova
12
64 kgBrammeier
15
60 kgBeveridge
20
55 kgBatagelj
26
53 kgCanuel
30
51 kgPučinskaitė
31
54 kgLópez
42
54 kgRiabchenko
47
57 kgJasinska
48
57 kgKashchyshyna
52
53 kgBoyarskaya
56
67 kgHenrion
58
60 kgDe Groot
70
56 kgAndruk
71
56 kg
Weight (KG) →
Result →
67
51
2
71
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | JOHANSSON Emma | 58 |
| 3 | MARTIN Lucy | 57 |
| 5 | WILLEIT Cherise | 54 |
| 12 | MARTISOVA Julia | 64 |
| 15 | BRAMMEIER Nikki | 60 |
| 20 | BEVERIDGE Julie | 55 |
| 26 | BATAGELJ Polona | 53 |
| 30 | CANUEL Karol-Ann | 51 |
| 31 | PUČINSKAITĖ Edita | 54 |
| 42 | LÓPEZ Belén | 54 |
| 47 | RIABCHENKO Tetyana | 57 |
| 48 | JASINSKA Małgorzata | 57 |
| 52 | KASHCHYSHYNA Oksana | 53 |
| 56 | BOYARSKAYA Natalia | 67 |
| 58 | HENRION Ludivine | 60 |
| 70 | DE GROOT Robyn | 56 |
| 71 | ANDRUK Alona | 56 |