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 + 29
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Adegeest
2
57 kgKessler
4
60 kgMackaij
6
57 kgFrapporti
12
63 kgTenniglo
15
64 kgKorevaar
17
59 kgBoogaard
25
59 kgKastelijn
29
52 kgMoonen
32
56 kgVollering
33
57 kgDelbaere
35
51 kgHoffmann
40
62 kgNorman Leth
42
68 kgNagengast
43
61 kgGafinovitz
47
52 kgBeckers
48
67 kgWüst
54
63 kgBrand
60
57 kgKuijpers
61
73 kgAlvarado
67
51 kgvan Houtum
68
55 kg
2
57 kgKessler
4
60 kgMackaij
6
57 kgFrapporti
12
63 kgTenniglo
15
64 kgKorevaar
17
59 kgBoogaard
25
59 kgKastelijn
29
52 kgMoonen
32
56 kgVollering
33
57 kgDelbaere
35
51 kgHoffmann
40
62 kgNorman Leth
42
68 kgNagengast
43
61 kgGafinovitz
47
52 kgBeckers
48
67 kgWüst
54
63 kgBrand
60
57 kgKuijpers
61
73 kgAlvarado
67
51 kgvan Houtum
68
55 kg
Weight (KG) →
Result →
73
51
2
68
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ADEGEEST Loes | 57 |
| 4 | KESSLER Nina | 60 |
| 6 | MACKAIJ Floortje | 57 |
| 12 | FRAPPORTI Simona | 63 |
| 15 | TENNIGLO Moniek | 64 |
| 17 | KOREVAAR Jeanne | 59 |
| 25 | BOOGAARD Maaike | 59 |
| 29 | KASTELIJN Yara | 52 |
| 32 | MOONEN Puck | 56 |
| 33 | VOLLERING Demi | 57 |
| 35 | DELBAERE Fien | 51 |
| 40 | HOFFMANN Chantal | 62 |
| 42 | NORMAN LETH Julie | 68 |
| 43 | NAGENGAST Fleur | 61 |
| 47 | GAFINOVITZ Rotem | 52 |
| 48 | BECKERS Isabelle | 67 |
| 54 | WÜST Ireen | 63 |
| 60 | BRAND Lucinda | 57 |
| 61 | KUIJPERS Evy | 73 |
| 67 | ALVARADO Ceylin del Carmen | 51 |
| 68 | VAN HOUTUM Céline | 55 |