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 = 1.1 * weight - 49
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Johansson
1
58 kgSmall
2
55 kgBronzini
4
54 kgGuarnier
5
54 kgVekemans
7
52 kgLichtenberg
10
52 kgStevens
12
55 kgPawlowska
13
60 kgSpratt
14
55 kgPitel
15
52 kgBrzeźna
16
56 kgVieceli
17
59 kgRooijakkers
21
58 kgCanuel
22
51 kgFahlin
25
63 kgRowe
26
65 kgAllen
28
55 kgSanguineti
34
61 kg
1
58 kgSmall
2
55 kgBronzini
4
54 kgGuarnier
5
54 kgVekemans
7
52 kgLichtenberg
10
52 kgStevens
12
55 kgPawlowska
13
60 kgSpratt
14
55 kgPitel
15
52 kgBrzeźna
16
56 kgVieceli
17
59 kgRooijakkers
21
58 kgCanuel
22
51 kgFahlin
25
63 kgRowe
26
65 kgAllen
28
55 kgSanguineti
34
61 kg
Weight (KG) →
Result →
65
51
1
34
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JOHANSSON Emma | 58 |
| 2 | SMALL Carmen | 55 |
| 4 | BRONZINI Giorgia | 54 |
| 5 | GUARNIER Megan | 54 |
| 7 | VEKEMANS Anisha | 52 |
| 10 | LICHTENBERG Claudia | 52 |
| 12 | STEVENS Evelyn | 55 |
| 13 | PAWLOWSKA Katarzyna | 60 |
| 14 | SPRATT Amanda | 55 |
| 15 | PITEL Edwige | 52 |
| 16 | BRZEŹNA Paulina | 56 |
| 17 | VIECELI Lara | 59 |
| 21 | ROOIJAKKERS Pauliena | 58 |
| 22 | CANUEL Karol-Ann | 51 |
| 25 | FAHLIN Emilia | 63 |
| 26 | ROWE Danielle | 65 |
| 28 | ALLEN Jessica | 55 |
| 34 | SANGUINETI Ilaria | 61 |