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 - 21
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
Pollentier
1
62 kgMerckx
2
74 kgPoulidor
5
71 kgden Hertog
14
76 kgAja
18
66 kgLasa
20
68 kgVasseur
30
67 kgParecchini
31
71 kgDemeyer
39
85 kgVan Impe
43
59 kgOvion
48
64 kgDierickx
53
74 kgBourreau
58
63 kgSercu
83
76 kgDucreux
85
65 kgMourioux
92
71 kgVan Looy
96
75 kgAllan
99
73 kgKarstens
100
74 kg
1
62 kgMerckx
2
74 kgPoulidor
5
71 kgden Hertog
14
76 kgAja
18
66 kgLasa
20
68 kgVasseur
30
67 kgParecchini
31
71 kgDemeyer
39
85 kgVan Impe
43
59 kgOvion
48
64 kgDierickx
53
74 kgBourreau
58
63 kgSercu
83
76 kgDucreux
85
65 kgMourioux
92
71 kgVan Looy
96
75 kgAllan
99
73 kgKarstens
100
74 kg
Weight (KG) →
Result →
85
59
1
100
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | POLLENTIER Michel | 62 |
| 2 | MERCKX Eddy | 74 |
| 5 | POULIDOR Raymond | 71 |
| 14 | DEN HERTOG Fedor | 76 |
| 18 | AJA Gonzalo | 66 |
| 20 | LASA Miguel María | 68 |
| 30 | VASSEUR Alain | 67 |
| 31 | PARECCHINI Aldo | 71 |
| 39 | DEMEYER Marc | 85 |
| 43 | VAN IMPE Lucien | 59 |
| 48 | OVION Régis | 64 |
| 53 | DIERICKX André | 74 |
| 58 | BOURREAU Bernard | 63 |
| 83 | SERCU Patrick | 76 |
| 85 | DUCREUX Daniel | 65 |
| 92 | MOURIOUX Jacques | 71 |
| 96 | VAN LOOY Frans | 75 |
| 99 | ALLAN Donald | 73 |
| 100 | KARSTENS Gerben | 74 |