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 + 13
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Bostock
1
69 kgScott
2
73 kgErmenault
3
75 kgDauphin
4
70 kgVitzthum
7
70 kgDinham
8
63 kgLe Berre
11
68 kgMahoudo
12
61 kgPaleni
13
65 kgTeggart
15
63 kgDuckert
16
68 kgLe Huitouze
17
71 kgBatt
20
76 kgVogel
21
80 kgWirtgen
23
63 kgWillems
24
64 kgScott
25
68 kgWood
26
72 kgKuhn
28
69 kgQuarterman
29
75 kgPerry
33
71 kgGeorge
34
68 kgOram
35
68 kgSheehan
38
69 kg
1
69 kgScott
2
73 kgErmenault
3
75 kgDauphin
4
70 kgVitzthum
7
70 kgDinham
8
63 kgLe Berre
11
68 kgMahoudo
12
61 kgPaleni
13
65 kgTeggart
15
63 kgDuckert
16
68 kgLe Huitouze
17
71 kgBatt
20
76 kgVogel
21
80 kgWirtgen
23
63 kgWillems
24
64 kgScott
25
68 kgWood
26
72 kgKuhn
28
69 kgQuarterman
29
75 kgPerry
33
71 kgGeorge
34
68 kgOram
35
68 kgSheehan
38
69 kg
Weight (KG) →
Result →
80
61
1
38
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOSTOCK Matthew | 69 |
| 2 | SCOTT Robert | 73 |
| 3 | ERMENAULT Corentin | 75 |
| 4 | DAUPHIN Florian | 70 |
| 7 | VITZTHUM Simon | 70 |
| 8 | DINHAM Matthew | 63 |
| 11 | LE BERRE Mathis | 68 |
| 12 | MAHOUDO Nolann | 61 |
| 13 | PALENI Enzo | 65 |
| 15 | TEGGART Matthew | 63 |
| 16 | DUCKERT Roman | 68 |
| 17 | LE HUITOUZE Eddy | 71 |
| 20 | BATT Ethan | 76 |
| 21 | VOGEL Alex | 80 |
| 23 | WIRTGEN Luc | 63 |
| 24 | WILLEMS Jago | 64 |
| 25 | SCOTT Jacob | 68 |
| 26 | WOOD Oliver | 72 |
| 28 | KUHN Kevin | 69 |
| 29 | QUARTERMAN Charlie | 75 |
| 33 | PERRY Benjamin | 71 |
| 34 | GEORGE Dylan | 68 |
| 35 | ORAM James | 68 |
| 38 | SHEEHAN Riley | 69 |