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 = -0.9 * weight + 99
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
Merckx
1
74 kgSercu
3
76 kgParecchini
4
71 kgOvion
6
64 kgDemeyer
10
85 kgKarstens
17
74 kgMourioux
19
71 kgAja
25
66 kgVan Looy
27
75 kgDucreux
29
65 kgDierickx
31
74 kgPoulidor
34
71 kgPollentier
39
62 kgVasseur
41
67 kgBourreau
42
63 kgLasa
44
68 kgVan Impe
73
59 kgAllan
84
73 kgden Hertog
94
76 kg
1
74 kgSercu
3
76 kgParecchini
4
71 kgOvion
6
64 kgDemeyer
10
85 kgKarstens
17
74 kgMourioux
19
71 kgAja
25
66 kgVan Looy
27
75 kgDucreux
29
65 kgDierickx
31
74 kgPoulidor
34
71 kgPollentier
39
62 kgVasseur
41
67 kgBourreau
42
63 kgLasa
44
68 kgVan Impe
73
59 kgAllan
84
73 kgden Hertog
94
76 kg
Weight (KG) →
Result →
85
59
1
94
# | Rider | Weight (KG) |
---|---|---|
1 | MERCKX Eddy | 74 |
3 | SERCU Patrick | 76 |
4 | PARECCHINI Aldo | 71 |
6 | OVION Régis | 64 |
10 | DEMEYER Marc | 85 |
17 | KARSTENS Gerben | 74 |
19 | MOURIOUX Jacques | 71 |
25 | AJA Gonzalo | 66 |
27 | VAN LOOY Frans | 75 |
29 | DUCREUX Daniel | 65 |
31 | DIERICKX André | 74 |
34 | POULIDOR Raymond | 71 |
39 | POLLENTIER Michel | 62 |
41 | VASSEUR Alain | 67 |
42 | BOURREAU Bernard | 63 |
44 | LASA Miguel María | 68 |
73 | VAN IMPE Lucien | 59 |
84 | ALLAN Donald | 73 |
94 | DEN HERTOG Fedor | 76 |