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 + 6
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Roy
1
66 kgLach
4
59 kgVieceli
5
59 kgBalsamo
7
55 kgNerlo
8
65 kgHoogeboom
14
52 kgHammes
15
54 kgManly
16
53 kgAllen
19
55 kgHanselmann
22
55 kgPavlukhina
27
68 kgCavalli
27
53 kgSchweinberger
30
63 kgPollicini
31
57 kgPersico
35
53 kgAndres
36
62 kgChristoforou
38
53 kgBaur
41
56 kgHoffmann
44
62 kgSchweinberger
55
67 kg
1
66 kgLach
4
59 kgVieceli
5
59 kgBalsamo
7
55 kgNerlo
8
65 kgHoogeboom
14
52 kgHammes
15
54 kgManly
16
53 kgAllen
19
55 kgHanselmann
22
55 kgPavlukhina
27
68 kgCavalli
27
53 kgSchweinberger
30
63 kgPollicini
31
57 kgPersico
35
53 kgAndres
36
62 kgChristoforou
38
53 kgBaur
41
56 kgHoffmann
44
62 kgSchweinberger
55
67 kg
Weight (KG) →
Result →
68
52
1
55
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROY Sarah | 66 |
| 4 | LACH Marta | 59 |
| 5 | VIECELI Lara | 59 |
| 7 | BALSAMO Elisa | 55 |
| 8 | NERLO Aurela | 65 |
| 14 | HOOGEBOOM Roos | 52 |
| 15 | HAMMES Kathrin | 54 |
| 16 | MANLY Alexandra | 53 |
| 19 | ALLEN Jessica | 55 |
| 22 | HANSELMANN Nicole | 55 |
| 27 | PAVLUKHINA Olena | 68 |
| 27 | CAVALLI Marta | 53 |
| 30 | SCHWEINBERGER Kathrin | 63 |
| 31 | POLLICINI Silvia | 57 |
| 35 | PERSICO Silvia | 53 |
| 36 | ANDRES Michelle | 62 |
| 38 | CHRISTOFOROU Antri | 53 |
| 41 | BAUR Caroline | 56 |
| 44 | HOFFMANN Chantal | 62 |
| 55 | SCHWEINBERGER Christina | 67 |