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 = -1.6 * weight + 149
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
Sercu
2
76 kgDemeyer
3
85 kgKarstens
5
74 kgMerckx
7
74 kgParecchini
12
71 kgOvion
13
64 kgMourioux
16
71 kgVan Looy
20
75 kgDucreux
24
65 kgBourreau
29
63 kgAllan
39
73 kgVasseur
40
67 kgAja
46
66 kgPollentier
47
62 kgLasa
48
68 kgPoulidor
53
71 kgden Hertog
71
76 kgDierickx
73
74 kgVan Impe
88
59 kg
2
76 kgDemeyer
3
85 kgKarstens
5
74 kgMerckx
7
74 kgParecchini
12
71 kgOvion
13
64 kgMourioux
16
71 kgVan Looy
20
75 kgDucreux
24
65 kgBourreau
29
63 kgAllan
39
73 kgVasseur
40
67 kgAja
46
66 kgPollentier
47
62 kgLasa
48
68 kgPoulidor
53
71 kgden Hertog
71
76 kgDierickx
73
74 kgVan Impe
88
59 kg
Weight (KG) →
Result →
85
59
2
88
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SERCU Patrick | 76 |
| 3 | DEMEYER Marc | 85 |
| 5 | KARSTENS Gerben | 74 |
| 7 | MERCKX Eddy | 74 |
| 12 | PARECCHINI Aldo | 71 |
| 13 | OVION Régis | 64 |
| 16 | MOURIOUX Jacques | 71 |
| 20 | VAN LOOY Frans | 75 |
| 24 | DUCREUX Daniel | 65 |
| 29 | BOURREAU Bernard | 63 |
| 39 | ALLAN Donald | 73 |
| 40 | VASSEUR Alain | 67 |
| 46 | AJA Gonzalo | 66 |
| 47 | POLLENTIER Michel | 62 |
| 48 | LASA Miguel María | 68 |
| 53 | POULIDOR Raymond | 71 |
| 71 | DEN HERTOG Fedor | 76 |
| 73 | DIERICKX André | 74 |
| 88 | VAN IMPE Lucien | 59 |