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 + 45
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Johansson
1
58 kgPučinskaitė
2
54 kgMartisova
5
64 kgBoyarskaya
8
67 kgMartin
9
57 kgBeveridge
11
55 kgCanuel
12
51 kgAndruk
17
56 kgWilleit
20
54 kgLópez
21
54 kgJasinska
25
57 kgKashchyshyna
31
53 kgBrammeier
33
60 kgBatagelj
34
53 kgDe Groot
35
56 kgHenrion
48
60 kgRiabchenko
56
57 kg
1
58 kgPučinskaitė
2
54 kgMartisova
5
64 kgBoyarskaya
8
67 kgMartin
9
57 kgBeveridge
11
55 kgCanuel
12
51 kgAndruk
17
56 kgWilleit
20
54 kgLópez
21
54 kgJasinska
25
57 kgKashchyshyna
31
53 kgBrammeier
33
60 kgBatagelj
34
53 kgDe Groot
35
56 kgHenrion
48
60 kgRiabchenko
56
57 kg
Weight (KG) →
Result →
67
51
1
56
# | Rider | Weight (KG) |
---|---|---|
1 | JOHANSSON Emma | 58 |
2 | PUČINSKAITĖ Edita | 54 |
5 | MARTISOVA Julia | 64 |
8 | BOYARSKAYA Natalia | 67 |
9 | MARTIN Lucy | 57 |
11 | BEVERIDGE Julie | 55 |
12 | CANUEL Karol-Ann | 51 |
17 | ANDRUK Alona | 56 |
20 | WILLEIT Cherise | 54 |
21 | LÓPEZ Belén | 54 |
25 | JASINSKA Małgorzata | 57 |
31 | KASHCHYSHYNA Oksana | 53 |
33 | BRAMMEIER Nikki | 60 |
34 | BATAGELJ Polona | 53 |
35 | DE GROOT Robyn | 56 |
48 | HENRION Ludivine | 60 |
56 | RIABCHENKO Tetyana | 57 |