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 = -0.5 * weight + 70
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Merckx
1
74 kgSercu
2
76 kgDemeyer
5
85 kgAllan
8
73 kgOvion
9
64 kgBourreau
13
63 kgDucreux
15
65 kgVasseur
17
67 kgParecchini
24
71 kgVan Looy
29
75 kgMourioux
32
71 kgPollentier
33
62 kgDierickx
45
74 kgLasa
48
68 kgPoulidor
61
71 kgAja
63
66 kgVan Impe
69
59 kgden Hertog
74
76 kgKarstens
105
74 kg
1
74 kgSercu
2
76 kgDemeyer
5
85 kgAllan
8
73 kgOvion
9
64 kgBourreau
13
63 kgDucreux
15
65 kgVasseur
17
67 kgParecchini
24
71 kgVan Looy
29
75 kgMourioux
32
71 kgPollentier
33
62 kgDierickx
45
74 kgLasa
48
68 kgPoulidor
61
71 kgAja
63
66 kgVan Impe
69
59 kgden Hertog
74
76 kgKarstens
105
74 kg
Weight (KG) →
Result →
85
59
1
105
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MERCKX Eddy | 74 |
| 2 | SERCU Patrick | 76 |
| 5 | DEMEYER Marc | 85 |
| 8 | ALLAN Donald | 73 |
| 9 | OVION Régis | 64 |
| 13 | BOURREAU Bernard | 63 |
| 15 | DUCREUX Daniel | 65 |
| 17 | VASSEUR Alain | 67 |
| 24 | PARECCHINI Aldo | 71 |
| 29 | VAN LOOY Frans | 75 |
| 32 | MOURIOUX Jacques | 71 |
| 33 | POLLENTIER Michel | 62 |
| 45 | DIERICKX André | 74 |
| 48 | LASA Miguel María | 68 |
| 61 | POULIDOR Raymond | 71 |
| 63 | AJA Gonzalo | 66 |
| 69 | VAN IMPE Lucien | 59 |
| 74 | DEN HERTOG Fedor | 76 |
| 105 | KARSTENS Gerben | 74 |