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 - 7
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Delaplace
1
65 kgChevrier
2
56 kgVermeersch
3
68 kgJourniaux
4
63 kgLeroux
6
79 kgCosnefroy
7
65 kgMorice
8
81 kgCabot
9
76 kgCousin
11
74 kgVanthourenhout
12
62 kgJoseph
13
71 kgGodon
15
74 kgVachon
16
65 kgIdjouadiene
17
69 kgGène
18
67 kgAntomarchi
19
70 kgEzquerra
20
68 kgvan der Poel
21
75 kgŤoupalík
22
65 kgLübbers
23
70 kgBissegger
24
78 kg
1
65 kgChevrier
2
56 kgVermeersch
3
68 kgJourniaux
4
63 kgLeroux
6
79 kgCosnefroy
7
65 kgMorice
8
81 kgCabot
9
76 kgCousin
11
74 kgVanthourenhout
12
62 kgJoseph
13
71 kgGodon
15
74 kgVachon
16
65 kgIdjouadiene
17
69 kgGène
18
67 kgAntomarchi
19
70 kgEzquerra
20
68 kgvan der Poel
21
75 kgŤoupalík
22
65 kgLübbers
23
70 kgBissegger
24
78 kg
Weight (KG) →
Result →
81
56
1
24
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DELAPLACE Anthony | 65 |
| 2 | CHEVRIER Clément | 56 |
| 3 | VERMEERSCH Gianni | 68 |
| 4 | JOURNIAUX Axel | 63 |
| 6 | LEROUX Samuel | 79 |
| 7 | COSNEFROY Benoît | 65 |
| 8 | MORICE Julien | 81 |
| 9 | CABOT Jérémy | 76 |
| 11 | COUSIN Jérôme | 74 |
| 12 | VANTHOURENHOUT Michael | 62 |
| 13 | JOSEPH Thomas | 71 |
| 15 | GODON Dorian | 74 |
| 16 | VACHON Florian | 65 |
| 17 | IDJOUADIENE Pierre | 69 |
| 18 | GÈNE Yohann | 67 |
| 19 | ANTOMARCHI Julien | 70 |
| 20 | EZQUERRA Jesús | 68 |
| 21 | VAN DER POEL Mathieu | 75 |
| 22 | ŤOUPALÍK Adam | 65 |
| 23 | LÜBBERS Dorian | 70 |
| 24 | BISSEGGER Stefan | 78 |