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 + 16
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Yssaad
2
69 kgGérard
3
70 kgDaniel
4
74 kgTizza
6
58 kgDonders
8
76 kgHolt
9
68 kgLatham
10
81 kgLe Roux
11
59 kgAriesen
12
70 kgHoelgaard
13
74 kgLevasseur
14
74 kgTorres
15
63.5 kgPicoux
16
71 kgKasperkiewicz
18
71 kgParrinello
21
68 kgvan den Berg
22
72 kgVermeulen
23
64 kgWalls
25
72 kgJarrier
26
69 kgCanuti
27
68 kgHagen
28
65 kgKneisky
31
68 kgQuaade
33
77 kg
2
69 kgGérard
3
70 kgDaniel
4
74 kgTizza
6
58 kgDonders
8
76 kgHolt
9
68 kgLatham
10
81 kgLe Roux
11
59 kgAriesen
12
70 kgHoelgaard
13
74 kgLevasseur
14
74 kgTorres
15
63.5 kgPicoux
16
71 kgKasperkiewicz
18
71 kgParrinello
21
68 kgvan den Berg
22
72 kgVermeulen
23
64 kgWalls
25
72 kgJarrier
26
69 kgCanuti
27
68 kgHagen
28
65 kgKneisky
31
68 kgQuaade
33
77 kg
Weight (KG) →
Result →
81
58
2
33
# | Rider | Weight (KG) |
---|---|---|
2 | YSSAAD Yannis | 69 |
3 | GÉRARD Arnaud | 70 |
4 | DANIEL Maxime | 74 |
6 | TIZZA Marco | 58 |
8 | DONDERS Jelle | 76 |
9 | HOLT Joe | 68 |
10 | LATHAM Christopher | 81 |
11 | LE ROUX Romain | 59 |
12 | ARIESEN Johim | 70 |
13 | HOELGAARD Markus | 74 |
14 | LEVASSEUR Jordan | 74 |
15 | TORRES Pablo | 63.5 |
16 | PICOUX Maximilien | 71 |
18 | KASPERKIEWICZ Przemysław | 71 |
21 | PARRINELLO Antonino | 68 |
22 | VAN DEN BERG Lars | 72 |
23 | VERMEULEN Emiel | 64 |
25 | WALLS Matthew | 72 |
26 | JARRIER Benoît | 69 |
27 | CANUTI Federico | 68 |
28 | HAGEN Carl Fredrik | 65 |
31 | KNEISKY Morgan | 68 |
33 | QUAADE Rasmus | 77 |