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 * weight + 26
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Maertens
1
65 kgZoetemelk
2
68 kgPoulidor
3
71 kgPollentier
4
62 kgVan Impe
5
59 kgKnudsen
9
79 kgViejo
11
64 kgRiccomi
14
66 kgDemeyer
15
85 kgMartin
29
62 kgBracke
30
79 kgKarstens
31
74 kgLasa
32
68 kgGavazzi
45
67 kgBourreau
46
63 kgRaas
56
72 kgvan den Hoek
59
77 kgSchmid
66
64 kgOvion
70
64 kg
1
65 kgZoetemelk
2
68 kgPoulidor
3
71 kgPollentier
4
62 kgVan Impe
5
59 kgKnudsen
9
79 kgViejo
11
64 kgRiccomi
14
66 kgDemeyer
15
85 kgMartin
29
62 kgBracke
30
79 kgKarstens
31
74 kgLasa
32
68 kgGavazzi
45
67 kgBourreau
46
63 kgRaas
56
72 kgvan den Hoek
59
77 kgSchmid
66
64 kgOvion
70
64 kg
Weight (KG) →
Result →
85
59
1
70
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAERTENS Freddy | 65 |
| 2 | ZOETEMELK Joop | 68 |
| 3 | POULIDOR Raymond | 71 |
| 4 | POLLENTIER Michel | 62 |
| 5 | VAN IMPE Lucien | 59 |
| 9 | KNUDSEN Knut | 79 |
| 11 | VIEJO José Luis | 64 |
| 14 | RICCOMI Walter | 66 |
| 15 | DEMEYER Marc | 85 |
| 29 | MARTIN Raymond | 62 |
| 30 | BRACKE Ferdinand | 79 |
| 31 | KARSTENS Gerben | 74 |
| 32 | LASA Miguel María | 68 |
| 45 | GAVAZZI Pierino | 67 |
| 46 | BOURREAU Bernard | 63 |
| 56 | RAAS Jan | 72 |
| 59 | VAN DEN HOEK Aad | 77 |
| 66 | SCHMID Iwan | 64 |
| 70 | OVION Régis | 64 |