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 + 30
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Brennauer
1
63 kgvan den Broek-Blaak
2
64 kgNorman Leth
4
68 kgvan Dijk
5
71 kgPieters
6
58 kgvan Vleuten
8
59 kgMackaij
9
57 kgKoedooder
10
69 kgElvin
11
63 kgTenniglo
12
64 kgCecchini
13
52 kgPenton
14
55 kgBrand
15
57 kgKasper
17
59 kgGuarischi
18
57 kgMajerus
19
56 kgMagner
21
57 kgWild
24
75 kgMoberg
25
56 kgMarkus
26
61 kg
1
63 kgvan den Broek-Blaak
2
64 kgNorman Leth
4
68 kgvan Dijk
5
71 kgPieters
6
58 kgvan Vleuten
8
59 kgMackaij
9
57 kgKoedooder
10
69 kgElvin
11
63 kgTenniglo
12
64 kgCecchini
13
52 kgPenton
14
55 kgBrand
15
57 kgKasper
17
59 kgGuarischi
18
57 kgMajerus
19
56 kgMagner
21
57 kgWild
24
75 kgMoberg
25
56 kgMarkus
26
61 kg
Weight (KG) →
Result →
75
52
1
26
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRENNAUER Lisa | 63 |
| 2 | VAN DEN BROEK-BLAAK Chantal | 64 |
| 4 | NORMAN LETH Julie | 68 |
| 5 | VAN DIJK Ellen | 71 |
| 6 | PIETERS Amy | 58 |
| 8 | VAN VLEUTEN Annemiek | 59 |
| 9 | MACKAIJ Floortje | 57 |
| 10 | KOEDOODER Vera | 69 |
| 11 | ELVIN Gracie | 63 |
| 12 | TENNIGLO Moniek | 64 |
| 13 | CECCHINI Elena | 52 |
| 14 | PENTON Sara | 55 |
| 15 | BRAND Lucinda | 57 |
| 17 | KASPER Romy | 59 |
| 18 | GUARISCHI Barbara | 57 |
| 19 | MAJERUS Christine | 56 |
| 21 | MAGNER Alexis | 57 |
| 24 | WILD Kirsten | 75 |
| 25 | MOBERG Emilie | 56 |
| 26 | MARKUS Riejanne | 61 |