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 = 0.1 * weight + 11
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Wiebes
1
60 kgBalsamo
2
55 kgKopecky
3
66 kgSmulders
8
51 kgBarbieri
10
55 kgGuarischi
11
57 kgSchweinberger
12
67 kgvan Dijk
13
71 kgAndersen
15
55 kgTruyen
16
55 kgConfalonieri
18
56 kgLongo Borghini
20
59 kgHenderson
21
58 kgMarkus
24
61 kgBerteau
27
57 kgManly
28
53 kgCordon-Ragot
30
60 kgBertizzolo
31
54 kgKuijpers
33
73 kg
1
60 kgBalsamo
2
55 kgKopecky
3
66 kgSmulders
8
51 kgBarbieri
10
55 kgGuarischi
11
57 kgSchweinberger
12
67 kgvan Dijk
13
71 kgAndersen
15
55 kgTruyen
16
55 kgConfalonieri
18
56 kgLongo Borghini
20
59 kgHenderson
21
58 kgMarkus
24
61 kgBerteau
27
57 kgManly
28
53 kgCordon-Ragot
30
60 kgBertizzolo
31
54 kgKuijpers
33
73 kg
Weight (KG) →
Result →
73
51
1
33
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WIEBES Lorena | 60 |
| 2 | BALSAMO Elisa | 55 |
| 3 | KOPECKY Lotte | 66 |
| 8 | SMULDERS Silke | 51 |
| 10 | BARBIERI Rachele | 55 |
| 11 | GUARISCHI Barbara | 57 |
| 12 | SCHWEINBERGER Christina | 67 |
| 13 | VAN DIJK Ellen | 71 |
| 15 | ANDERSEN Susanne | 55 |
| 16 | TRUYEN Marthe | 55 |
| 18 | CONFALONIERI Maria Giulia | 56 |
| 20 | LONGO BORGHINI Elisa | 59 |
| 21 | HENDERSON Anna | 58 |
| 24 | MARKUS Riejanne | 61 |
| 27 | BERTEAU Victoire | 57 |
| 28 | MANLY Alexandra | 53 |
| 30 | CORDON-RAGOT Audrey | 60 |
| 31 | BERTIZZOLO Sofia | 54 |
| 33 | KUIJPERS Evy | 73 |