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 = 1.5 * weight - 53
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
Maertens
2
65 kgGavazzi
3
67 kgLasa
5
68 kgRiccomi
19
66 kgKuiper
20
69 kgDemeyer
21
85 kgPoulidor
26
71 kgOvion
31
64 kgVan Impe
37
59 kgZoetemelk
38
68 kgBaronchelli
40
72 kgBourreau
49
63 kgPollentier
52
62 kgMartin
58
62 kgSchmid
74
64 kgKnudsen
76
79 kgSchuiten
79
83 kgRaas
90
72 kgKarstens
92
74 kgBracke
100
79 kgViejo
106
64 kgvan den Hoek
113
77 kg
2
65 kgGavazzi
3
67 kgLasa
5
68 kgRiccomi
19
66 kgKuiper
20
69 kgDemeyer
21
85 kgPoulidor
26
71 kgOvion
31
64 kgVan Impe
37
59 kgZoetemelk
38
68 kgBaronchelli
40
72 kgBourreau
49
63 kgPollentier
52
62 kgMartin
58
62 kgSchmid
74
64 kgKnudsen
76
79 kgSchuiten
79
83 kgRaas
90
72 kgKarstens
92
74 kgBracke
100
79 kgViejo
106
64 kgvan den Hoek
113
77 kg
Weight (KG) →
Result →
85
59
2
113
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MAERTENS Freddy | 65 |
| 3 | GAVAZZI Pierino | 67 |
| 5 | LASA Miguel María | 68 |
| 19 | RICCOMI Walter | 66 |
| 20 | KUIPER Hennie | 69 |
| 21 | DEMEYER Marc | 85 |
| 26 | POULIDOR Raymond | 71 |
| 31 | OVION Régis | 64 |
| 37 | VAN IMPE Lucien | 59 |
| 38 | ZOETEMELK Joop | 68 |
| 40 | BARONCHELLI Gianbattista | 72 |
| 49 | BOURREAU Bernard | 63 |
| 52 | POLLENTIER Michel | 62 |
| 58 | MARTIN Raymond | 62 |
| 74 | SCHMID Iwan | 64 |
| 76 | KNUDSEN Knut | 79 |
| 79 | SCHUITEN Roy | 83 |
| 90 | RAAS Jan | 72 |
| 92 | KARSTENS Gerben | 74 |
| 100 | BRACKE Ferdinand | 79 |
| 106 | VIEJO José Luis | 64 |
| 113 | VAN DEN HOEK Aad | 77 |