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 = 0.4 * weight + 14
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Martisova
3
64 kgWilleit
10
54 kgMartin
11
57 kgCanuel
13
51 kgJohansson
15
58 kgBatagelj
17
53 kgBeveridge
24
55 kgPučinskaitė
31
54 kgBrammeier
35
60 kgBoyarskaya
44
67 kgLópez
54
54 kgDe Groot
55
56 kgKashchyshyna
57
53 kgAndruk
65
56 kgRiabchenko
76
57 kgJasinska
80
57 kgHenrion
82
60 kg
3
64 kgWilleit
10
54 kgMartin
11
57 kgCanuel
13
51 kgJohansson
15
58 kgBatagelj
17
53 kgBeveridge
24
55 kgPučinskaitė
31
54 kgBrammeier
35
60 kgBoyarskaya
44
67 kgLópez
54
54 kgDe Groot
55
56 kgKashchyshyna
57
53 kgAndruk
65
56 kgRiabchenko
76
57 kgJasinska
80
57 kgHenrion
82
60 kg
Weight (KG) →
Result →
67
51
3
82
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | MARTISOVA Julia | 64 |
| 10 | WILLEIT Cherise | 54 |
| 11 | MARTIN Lucy | 57 |
| 13 | CANUEL Karol-Ann | 51 |
| 15 | JOHANSSON Emma | 58 |
| 17 | BATAGELJ Polona | 53 |
| 24 | BEVERIDGE Julie | 55 |
| 31 | PUČINSKAITĖ Edita | 54 |
| 35 | BRAMMEIER Nikki | 60 |
| 44 | BOYARSKAYA Natalia | 67 |
| 54 | LÓPEZ Belén | 54 |
| 55 | DE GROOT Robyn | 56 |
| 57 | KASHCHYSHYNA Oksana | 53 |
| 65 | ANDRUK Alona | 56 |
| 76 | RIABCHENKO Tetyana | 57 |
| 80 | JASINSKA Małgorzata | 57 |
| 82 | HENRION Ludivine | 60 |