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 = 0.4 * weight + 11
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Godefroot
3
73 kgKarstens
4
74 kgSaéz
6
74 kgPijnen
11
72 kgKrekels
12
73 kgTamames
18
66 kgDolman
19
71 kgSteevens
26
73 kgDíaz
32
72 kgLasa
35
68 kgSchleck
37
72 kgPoulidor
47
71 kgZoetemelk
49
68 kgSchutz
64
72 kgAja
69
66 kgBilsland
73
73 kgRosiers
76
78 kgBracke
82
79 kgParenteau
88
68 kg
3
73 kgKarstens
4
74 kgSaéz
6
74 kgPijnen
11
72 kgKrekels
12
73 kgTamames
18
66 kgDolman
19
71 kgSteevens
26
73 kgDíaz
32
72 kgLasa
35
68 kgSchleck
37
72 kgPoulidor
47
71 kgZoetemelk
49
68 kgSchutz
64
72 kgAja
69
66 kgBilsland
73
73 kgRosiers
76
78 kgBracke
82
79 kgParenteau
88
68 kg
Weight (KG) →
Result →
79
66
3
88
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | GODEFROOT Walter | 73 |
| 4 | KARSTENS Gerben | 74 |
| 6 | SAÉZ Ramón | 74 |
| 11 | PIJNEN René | 72 |
| 12 | KREKELS Jan | 73 |
| 18 | TAMAMES Agustín | 66 |
| 19 | DOLMAN Evert | 71 |
| 26 | STEEVENS Harry | 73 |
| 32 | DÍAZ Ventura | 72 |
| 35 | LASA Miguel María | 68 |
| 37 | SCHLECK Johny | 72 |
| 47 | POULIDOR Raymond | 71 |
| 49 | ZOETEMELK Joop | 68 |
| 64 | SCHUTZ Edy | 72 |
| 69 | AJA Gonzalo | 66 |
| 73 | BILSLAND William | 73 |
| 76 | ROSIERS Roger | 78 |
| 82 | BRACKE Ferdinand | 79 |
| 88 | PARENTEAU Jean-Pierre | 68 |