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 = -0.5 * weight + 72
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Johansson
3
58 kgMartisova
4
64 kgMartin
5
57 kgAndruk
8
56 kgJasinska
11
57 kgBeveridge
24
55 kgPučinskaitė
26
54 kgWilleit
29
54 kgBatagelj
31
53 kgBrammeier
32
60 kgCanuel
61
51 kgBoyarskaya
64
67 kgRiabchenko
70
57 kgKashchyshyna
71
53 kgDe Groot
72
56 kgHenttala
76
58 kgLópez
79
54 kgHenrion
80
60 kgStander
93
57 kg
3
58 kgMartisova
4
64 kgMartin
5
57 kgAndruk
8
56 kgJasinska
11
57 kgBeveridge
24
55 kgPučinskaitė
26
54 kgWilleit
29
54 kgBatagelj
31
53 kgBrammeier
32
60 kgCanuel
61
51 kgBoyarskaya
64
67 kgRiabchenko
70
57 kgKashchyshyna
71
53 kgDe Groot
72
56 kgHenttala
76
58 kgLópez
79
54 kgHenrion
80
60 kgStander
93
57 kg
Weight (KG) →
Result →
67
51
3
93
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | JOHANSSON Emma | 58 |
| 4 | MARTISOVA Julia | 64 |
| 5 | MARTIN Lucy | 57 |
| 8 | ANDRUK Alona | 56 |
| 11 | JASINSKA Małgorzata | 57 |
| 24 | BEVERIDGE Julie | 55 |
| 26 | PUČINSKAITĖ Edita | 54 |
| 29 | WILLEIT Cherise | 54 |
| 31 | BATAGELJ Polona | 53 |
| 32 | BRAMMEIER Nikki | 60 |
| 61 | CANUEL Karol-Ann | 51 |
| 64 | BOYARSKAYA Natalia | 67 |
| 70 | RIABCHENKO Tetyana | 57 |
| 71 | KASHCHYSHYNA Oksana | 53 |
| 72 | DE GROOT Robyn | 56 |
| 76 | HENTTALA Lotta | 58 |
| 79 | LÓPEZ Belén | 54 |
| 80 | HENRION Ludivine | 60 |
| 93 | STANDER Marissa | 57 |