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 + 25
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Ensing
1
62 kgMackaij
2
57 kgKitchen
3
60 kgPaladin
4
59 kgGutiérrez
6
60 kgKessler
7
60 kgWiebes
8
60 kgFournier
9
60 kgHannes
12
51 kgRijkes
13
57 kgKirchmann
15
59 kgMathiesen
19
71 kgDemey
23
56 kgTenniglo
24
64 kgBeckers
25
67 kgDruyts
28
62 kgMustonen
30
58 kgAndersen
31
55 kgErić
32
53 kgSicot
36
58 kgDelbaere
42
51 kgVekemans
47
52 kgKuijpers
49
73 kg
1
62 kgMackaij
2
57 kgKitchen
3
60 kgPaladin
4
59 kgGutiérrez
6
60 kgKessler
7
60 kgWiebes
8
60 kgFournier
9
60 kgHannes
12
51 kgRijkes
13
57 kgKirchmann
15
59 kgMathiesen
19
71 kgDemey
23
56 kgTenniglo
24
64 kgBeckers
25
67 kgDruyts
28
62 kgMustonen
30
58 kgAndersen
31
55 kgErić
32
53 kgSicot
36
58 kgDelbaere
42
51 kgVekemans
47
52 kgKuijpers
49
73 kg
Weight (KG) →
Result →
73
51
1
49
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ENSING Janneke | 62 |
| 2 | MACKAIJ Floortje | 57 |
| 3 | KITCHEN Lauren | 60 |
| 4 | PALADIN Soraya | 59 |
| 6 | GUTIÉRREZ Sheyla | 60 |
| 7 | KESSLER Nina | 60 |
| 8 | WIEBES Lorena | 60 |
| 9 | FOURNIER Roxane | 60 |
| 12 | HANNES Kaat | 51 |
| 13 | RIJKES Sarah | 57 |
| 15 | KIRCHMANN Leah | 59 |
| 19 | MATHIESEN Pernille | 71 |
| 23 | DEMEY Valerie | 56 |
| 24 | TENNIGLO Moniek | 64 |
| 25 | BECKERS Isabelle | 67 |
| 28 | DRUYTS Kelly | 62 |
| 30 | MUSTONEN Sara | 58 |
| 31 | ANDERSEN Susanne | 55 |
| 32 | ERIĆ Jelena | 53 |
| 36 | SICOT Marion | 58 |
| 42 | DELBAERE Fien | 51 |
| 47 | VEKEMANS Anisha | 52 |
| 49 | KUIJPERS Evy | 73 |