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 = 0.5 * weight - 19
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Chassot
1
72 kgGrassin
2
62 kgNempon
3
58 kgDhers
4
72 kgDetreille
5
70 kgAnseeuw
6
76 kgBidot
7
78 kgGerbaud
9
76 kgCoomans
9
62 kgSamyn
9
71 kgAlancourt
9
62 kgPetouille
9
75 kgGatier
9
64 kgGobillot
9
58 kgMoulet
22
79 kgLacolle
23
82 kgDegy
26
74 kgLoew
27
76 kgDenamur
28
63 kgLouis
29
65 kgLafosse
30
70 kgHennuyer
32
76 kgBilling
34
75 kg
1
72 kgGrassin
2
62 kgNempon
3
58 kgDhers
4
72 kgDetreille
5
70 kgAnseeuw
6
76 kgBidot
7
78 kgGerbaud
9
76 kgCoomans
9
62 kgSamyn
9
71 kgAlancourt
9
62 kgPetouille
9
75 kgGatier
9
64 kgGobillot
9
58 kgMoulet
22
79 kgLacolle
23
82 kgDegy
26
74 kgLoew
27
76 kgDenamur
28
63 kgLouis
29
65 kgLafosse
30
70 kgHennuyer
32
76 kgBilling
34
75 kg
Weight (KG) →
Result →
82
58
1
34
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHASSOT René | 72 |
| 2 | GRASSIN Robert | 62 |
| 3 | NEMPON Jules | 58 |
| 4 | DHERS Eugène | 72 |
| 5 | DETREILLE Georges | 70 |
| 6 | ANSEEUW Urbain | 76 |
| 7 | BIDOT Marcel | 78 |
| 9 | GERBAUD Robert | 76 |
| 9 | COOMANS Jacques | 62 |
| 9 | SAMYN Julien | 71 |
| 9 | ALANCOURT Arsène | 62 |
| 9 | PETOUILLE Raoul | 75 |
| 9 | GATIER Georges | 64 |
| 9 | GOBILLOT Marcel | 58 |
| 22 | MOULET Fernand | 79 |
| 23 | LACOLLE Roger | 82 |
| 26 | DEGY Gaston | 74 |
| 27 | LOEW Charles | 76 |
| 28 | DENAMUR Maurice | 63 |
| 29 | LOUIS Leonce | 65 |
| 30 | LAFOSSE Victor | 70 |
| 32 | HENNUYER Charles | 76 |
| 34 | BILLING René | 75 |