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 = -0.8 * weight + 76
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
van Dijk
1
71 kgPolspoel
3
59 kgStevens
6
55 kgSosna
7
76 kgHosking
8
60 kgD'hoore
9
63 kgDruyts
10
62 kgMoberg
11
56 kgVekemans
16
52 kgBrammeier
31
60 kgCantele
32
58 kgVillumsen
33
59 kgFrapporti
40
63 kgScandolara
41
52 kgValsecchi
42
58 kgCorneo
44
54 kgKasper
46
59 kgMartin
49
57 kgHatteland Lima
62
65 kg
1
71 kgPolspoel
3
59 kgStevens
6
55 kgSosna
7
76 kgHosking
8
60 kgD'hoore
9
63 kgDruyts
10
62 kgMoberg
11
56 kgVekemans
16
52 kgBrammeier
31
60 kgCantele
32
58 kgVillumsen
33
59 kgFrapporti
40
63 kgScandolara
41
52 kgValsecchi
42
58 kgCorneo
44
54 kgKasper
46
59 kgMartin
49
57 kgHatteland Lima
62
65 kg
Weight (KG) →
Result →
76
52
1
62
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN DIJK Ellen | 71 |
| 3 | POLSPOEL Maaike | 59 |
| 6 | STEVENS Evelyn | 55 |
| 7 | SOSNA Katazyna | 76 |
| 8 | HOSKING Chloe | 60 |
| 9 | D'HOORE Jolien | 63 |
| 10 | DRUYTS Kelly | 62 |
| 11 | MOBERG Emilie | 56 |
| 16 | VEKEMANS Anisha | 52 |
| 31 | BRAMMEIER Nikki | 60 |
| 32 | CANTELE Noemi | 58 |
| 33 | VILLUMSEN Linda | 59 |
| 40 | FRAPPORTI Simona | 63 |
| 41 | SCANDOLARA Valentina | 52 |
| 42 | VALSECCHI Silvia | 58 |
| 44 | CORNEO Sigrid | 54 |
| 46 | KASPER Romy | 59 |
| 49 | MARTIN Lucy | 57 |
| 62 | HATTELAND LIMA Tone | 65 |