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 = 0.3 * weight + 1
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Hosking
1
60 kgCecchini
2
52 kgWilleit
5
54 kgvan der Breggen
6
56 kgScandolara
7
52 kgLongo Borghini
8
59 kgBiannic
12
64 kgPieters
13
58 kgHannes
14
51 kgBatagelj
17
53 kgConfalonieri
18
56 kgPolspoel
20
59 kgKitchen
24
60 kgCordon-Ragot
25
60 kgRyan
34
59 kgVekemans
37
52 kg
1
60 kgCecchini
2
52 kgWilleit
5
54 kgvan der Breggen
6
56 kgScandolara
7
52 kgLongo Borghini
8
59 kgBiannic
12
64 kgPieters
13
58 kgHannes
14
51 kgBatagelj
17
53 kgConfalonieri
18
56 kgPolspoel
20
59 kgKitchen
24
60 kgCordon-Ragot
25
60 kgRyan
34
59 kgVekemans
37
52 kg
Weight (KG) →
Result →
64
51
1
37
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HOSKING Chloe | 60 |
| 2 | CECCHINI Elena | 52 |
| 5 | WILLEIT Cherise | 54 |
| 6 | VAN DER BREGGEN Anna | 56 |
| 7 | SCANDOLARA Valentina | 52 |
| 8 | LONGO BORGHINI Elisa | 59 |
| 12 | BIANNIC Aude | 64 |
| 13 | PIETERS Amy | 58 |
| 14 | HANNES Kaat | 51 |
| 17 | BATAGELJ Polona | 53 |
| 18 | CONFALONIERI Maria Giulia | 56 |
| 20 | POLSPOEL Maaike | 59 |
| 24 | KITCHEN Lauren | 60 |
| 25 | CORDON-RAGOT Audrey | 60 |
| 34 | RYAN Kendall | 59 |
| 37 | VEKEMANS Anisha | 52 |