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 = 0.6 * weight - 20
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Kreder
1
70 kgVandousselaere
3
71 kgGhyselinck
7
74 kgBär
8
66 kgLodewyck
9
70 kgPlanckaert
10
65 kgGallopin
17
69 kgAriesen
20
70 kgPagani
25
68 kgPieters
29
73 kgMartinez
31
69 kgŠiškevičius
32
80 kgDeclercq
36
78 kgDebusschere
42
77 kgSicard
43
63 kgSalomein
47
80 kgLamoisson
48
69 kgStassen
55
66 kg
1
70 kgVandousselaere
3
71 kgGhyselinck
7
74 kgBär
8
66 kgLodewyck
9
70 kgPlanckaert
10
65 kgGallopin
17
69 kgAriesen
20
70 kgPagani
25
68 kgPieters
29
73 kgMartinez
31
69 kgŠiškevičius
32
80 kgDeclercq
36
78 kgDebusschere
42
77 kgSicard
43
63 kgSalomein
47
80 kgLamoisson
48
69 kgStassen
55
66 kg
Weight (KG) →
Result →
80
63
1
55
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KREDER Raymond | 70 |
| 3 | VANDOUSSELAERE Sven | 71 |
| 7 | GHYSELINCK Jan | 74 |
| 8 | BÄR Michael | 66 |
| 9 | LODEWYCK Klaas | 70 |
| 10 | PLANCKAERT Baptiste | 65 |
| 17 | GALLOPIN Tony | 69 |
| 20 | ARIESEN Johim | 70 |
| 25 | PAGANI Angelo | 68 |
| 29 | PIETERS Sibrecht | 73 |
| 31 | MARTINEZ Yannick | 69 |
| 32 | ŠIŠKEVIČIUS Evaldas | 80 |
| 36 | DECLERCQ Tim | 78 |
| 42 | DEBUSSCHERE Jens | 77 |
| 43 | SICARD Romain | 63 |
| 47 | SALOMEIN Jarl | 80 |
| 48 | LAMOISSON Morgan | 69 |
| 55 | STASSEN Julien | 66 |