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 + 38
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Brennauer
1
63 kgVos
2
58 kgD'hoore
3
63 kgvan Dijk
4
71 kgDeignan
6
57 kgGuarischi
7
57 kgOlds
8
54 kgvan den Broek-Blaak
9
64 kgDuyck
10
60 kgConfalonieri
11
56 kgJohansson
12
58 kgStevens
13
55 kgMoberg
14
56 kgHoskins
15
64 kgCordon-Ragot
16
60 kgCanuel
17
51 kgMustonen
19
58 kg
1
63 kgVos
2
58 kgD'hoore
3
63 kgvan Dijk
4
71 kgDeignan
6
57 kgGuarischi
7
57 kgOlds
8
54 kgvan den Broek-Blaak
9
64 kgDuyck
10
60 kgConfalonieri
11
56 kgJohansson
12
58 kgStevens
13
55 kgMoberg
14
56 kgHoskins
15
64 kgCordon-Ragot
16
60 kgCanuel
17
51 kgMustonen
19
58 kg
Weight (KG) →
Result →
71
51
1
19
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRENNAUER Lisa | 63 |
| 2 | VOS Marianne | 58 |
| 3 | D'HOORE Jolien | 63 |
| 4 | VAN DIJK Ellen | 71 |
| 6 | DEIGNAN Elizabeth | 57 |
| 7 | GUARISCHI Barbara | 57 |
| 8 | OLDS Shelley | 54 |
| 9 | VAN DEN BROEK-BLAAK Chantal | 64 |
| 10 | DUYCK Ann-Sophie | 60 |
| 11 | CONFALONIERI Maria Giulia | 56 |
| 12 | JOHANSSON Emma | 58 |
| 13 | STEVENS Evelyn | 55 |
| 14 | MOBERG Emilie | 56 |
| 15 | HOSKINS Melissa | 64 |
| 16 | CORDON-RAGOT Audrey | 60 |
| 17 | CANUEL Karol-Ann | 51 |
| 19 | MUSTONEN Sara | 58 |