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.
D'hoore
1
63 kgBrand
2
57 kgMajerus
3
56 kgWild
6
75 kgBrennauer
7
63 kgPieters
8
58 kgBastianelli
9
60 kgvan Dijk
16
71 kgCecchini
17
52 kgKasper
18
59 kgGuarischi
19
57 kgConfalonieri
20
56 kgAmialiusik
21
53 kgGarfoot
22
56 kgKopecky
23
66 kgCanuel
25
51 kgHannes
26
51 kgvan Vleuten
27
59 kgLongo Borghini
31
59 kg
1
63 kgBrand
2
57 kgMajerus
3
56 kgWild
6
75 kgBrennauer
7
63 kgPieters
8
58 kgBastianelli
9
60 kgvan Dijk
16
71 kgCecchini
17
52 kgKasper
18
59 kgGuarischi
19
57 kgConfalonieri
20
56 kgAmialiusik
21
53 kgGarfoot
22
56 kgKopecky
23
66 kgCanuel
25
51 kgHannes
26
51 kgvan Vleuten
27
59 kgLongo Borghini
31
59 kg
Weight (KG) →
Result →
75
51
1
31
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | D'HOORE Jolien | 63 |
| 2 | BRAND Lucinda | 57 |
| 3 | MAJERUS Christine | 56 |
| 6 | WILD Kirsten | 75 |
| 7 | BRENNAUER Lisa | 63 |
| 8 | PIETERS Amy | 58 |
| 9 | BASTIANELLI Marta | 60 |
| 16 | VAN DIJK Ellen | 71 |
| 17 | CECCHINI Elena | 52 |
| 18 | KASPER Romy | 59 |
| 19 | GUARISCHI Barbara | 57 |
| 20 | CONFALONIERI Maria Giulia | 56 |
| 21 | AMIALIUSIK Alena | 53 |
| 22 | GARFOOT Katrin | 56 |
| 23 | KOPECKY Lotte | 66 |
| 25 | CANUEL Karol-Ann | 51 |
| 26 | HANNES Kaat | 51 |
| 27 | VAN VLEUTEN Annemiek | 59 |
| 31 | LONGO BORGHINI Elisa | 59 |