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 * weight + 22
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Dupont
1
72 kgAriesen
3
70 kgBreen
4
74 kgCardis
5
72 kgAlafaci
6
77 kgBenfatto
8
71 kgVan Lerberghe
9
83 kgNikolaev
14
66 kgKlostergaard
15
69 kgSarreau
17
76 kgde Vries
24
70 kgHoller
27
58 kgMortensen
28
70 kgDraperi
29
70 kgFolsach
30
81 kgChaigneau
32
80 kgBoudat
33
70 kgMorice
36
81 kgNorthey
42
69 kg
1
72 kgAriesen
3
70 kgBreen
4
74 kgCardis
5
72 kgAlafaci
6
77 kgBenfatto
8
71 kgVan Lerberghe
9
83 kgNikolaev
14
66 kgKlostergaard
15
69 kgSarreau
17
76 kgde Vries
24
70 kgHoller
27
58 kgMortensen
28
70 kgDraperi
29
70 kgFolsach
30
81 kgChaigneau
32
80 kgBoudat
33
70 kgMorice
36
81 kgNorthey
42
69 kg
Weight (KG) →
Result →
83
58
1
42
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DUPONT Timothy | 72 |
| 3 | ARIESEN Johim | 70 |
| 4 | BREEN Vegard | 74 |
| 5 | CARDIS Romain | 72 |
| 6 | ALAFACI Eugenio | 77 |
| 8 | BENFATTO Marco | 71 |
| 9 | VAN LERBERGHE Bert | 83 |
| 14 | NIKOLAEV Sergey | 66 |
| 15 | KLOSTERGAARD Kasper | 69 |
| 17 | SARREAU Marc | 76 |
| 24 | DE VRIES Berden | 70 |
| 27 | HOLLER Nikodemus | 58 |
| 28 | MORTENSEN Martin | 70 |
| 29 | DRAPERI Matteo | 70 |
| 30 | FOLSACH Casper | 81 |
| 32 | CHAIGNEAU Robin | 80 |
| 33 | BOUDAT Thomas | 70 |
| 36 | MORICE Julien | 81 |
| 42 | NORTHEY Michael James | 69 |