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 + 5
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Gregaard
1
66 kgSchultz
3
68 kgLevasseur
4
74 kgLeplingard
6
68 kgVereecken
9
72 kgCornelisse
11
73.5 kgPlanckaert
12
65 kgStewart
13
71 kgOvett
15
64 kgTusveld
16
70 kgCordeel
17
80 kgBol
20
71 kgVan Zummeren
21
73 kgHoelgaard
23
74 kgCalleeuw
25
71 kgTschernoster
26
62 kg
1
66 kgSchultz
3
68 kgLevasseur
4
74 kgLeplingard
6
68 kgVereecken
9
72 kgCornelisse
11
73.5 kgPlanckaert
12
65 kgStewart
13
71 kgOvett
15
64 kgTusveld
16
70 kgCordeel
17
80 kgBol
20
71 kgVan Zummeren
21
73 kgHoelgaard
23
74 kgCalleeuw
25
71 kgTschernoster
26
62 kg
Weight (KG) →
Result →
80
62
1
26
# | Rider | Weight (KG) |
---|---|---|
1 | GREGAARD Jonas | 66 |
3 | SCHULTZ Nick | 68 |
4 | LEVASSEUR Jordan | 74 |
6 | LEPLINGARD Antoine | 68 |
9 | VEREECKEN Nicolas | 72 |
11 | CORNELISSE Mitchell | 73.5 |
12 | PLANCKAERT Baptiste | 65 |
13 | STEWART Thomas | 71 |
15 | OVETT Freddy | 64 |
16 | TUSVELD Martijn | 70 |
17 | CORDEEL Sander | 80 |
20 | BOL Jetse | 71 |
21 | VAN ZUMMEREN Stef | 73 |
23 | HOELGAARD Markus | 74 |
25 | CALLEEUW Joeri | 71 |
26 | TSCHERNOSTER Jan | 62 |