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 + 45
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Reusser
1
70 kgWiebes
2
60 kgLongo Borghini
4
59 kgLabous
5
54 kgBalsamo
6
55 kgKopecky
7
66 kgSkalniak-Sójka
8
54 kgKastelijn
9
52 kgAalerud
10
54 kgChabbey
11
52 kgSpratt
13
55 kgWilliams
16
66 kgVerhulst-Wild
19
58 kgCouzens
21
59 kgMalcotti
22
52 kgErić
24
53 kgBlasi
27
57 kgSmulders
31
51 kgConsonni
33
59 kg
1
70 kgWiebes
2
60 kgLongo Borghini
4
59 kgLabous
5
54 kgBalsamo
6
55 kgKopecky
7
66 kgSkalniak-Sójka
8
54 kgKastelijn
9
52 kgAalerud
10
54 kgChabbey
11
52 kgSpratt
13
55 kgWilliams
16
66 kgVerhulst-Wild
19
58 kgCouzens
21
59 kgMalcotti
22
52 kgErić
24
53 kgBlasi
27
57 kgSmulders
31
51 kgConsonni
33
59 kg
Weight (KG) →
Result →
70
51
1
33
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | REUSSER Marlen | 70 |
| 2 | WIEBES Lorena | 60 |
| 4 | LONGO BORGHINI Elisa | 59 |
| 5 | LABOUS Juliette | 54 |
| 6 | BALSAMO Elisa | 55 |
| 7 | KOPECKY Lotte | 66 |
| 8 | SKALNIAK-SÓJKA Agnieszka | 54 |
| 9 | KASTELIJN Yara | 52 |
| 10 | AALERUD Katrine | 54 |
| 11 | CHABBEY Elise | 52 |
| 13 | SPRATT Amanda | 55 |
| 16 | WILLIAMS Lily | 66 |
| 19 | VERHULST-WILD Gladys | 58 |
| 21 | COUZENS Millie | 59 |
| 22 | MALCOTTI Barbara | 52 |
| 24 | ERIĆ Jelena | 53 |
| 27 | BLASI Paula | 57 |
| 31 | SMULDERS Silke | 51 |
| 33 | CONSONNI Chiara | 59 |