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 * weight - 28
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
Maertens
1
65 kgGavazzi
2
67 kgKarstens
7
74 kgDemeyer
9
85 kgBourreau
13
63 kgSchmid
14
64 kgOvion
17
64 kgPoulidor
22
71 kgRiccomi
25
66 kgViejo
29
64 kgVan Impe
39
59 kgLasa
49
68 kgPollentier
51
62 kgZoetemelk
60
68 kgKnudsen
61
79 kgMartin
67
62 kgRaas
78
72 kgBracke
81
79 kgvan den Hoek
86
77 kg
1
65 kgGavazzi
2
67 kgKarstens
7
74 kgDemeyer
9
85 kgBourreau
13
63 kgSchmid
14
64 kgOvion
17
64 kgPoulidor
22
71 kgRiccomi
25
66 kgViejo
29
64 kgVan Impe
39
59 kgLasa
49
68 kgPollentier
51
62 kgZoetemelk
60
68 kgKnudsen
61
79 kgMartin
67
62 kgRaas
78
72 kgBracke
81
79 kgvan den Hoek
86
77 kg
Weight (KG) →
Result →
85
59
1
86
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAERTENS Freddy | 65 |
| 2 | GAVAZZI Pierino | 67 |
| 7 | KARSTENS Gerben | 74 |
| 9 | DEMEYER Marc | 85 |
| 13 | BOURREAU Bernard | 63 |
| 14 | SCHMID Iwan | 64 |
| 17 | OVION Régis | 64 |
| 22 | POULIDOR Raymond | 71 |
| 25 | RICCOMI Walter | 66 |
| 29 | VIEJO José Luis | 64 |
| 39 | VAN IMPE Lucien | 59 |
| 49 | LASA Miguel María | 68 |
| 51 | POLLENTIER Michel | 62 |
| 60 | ZOETEMELK Joop | 68 |
| 61 | KNUDSEN Knut | 79 |
| 67 | MARTIN Raymond | 62 |
| 78 | RAAS Jan | 72 |
| 81 | BRACKE Ferdinand | 79 |
| 86 | VAN DEN HOEK Aad | 77 |