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 = 1.4 * weight - 48
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
Merckx
1
74 kgPoulidor
2
71 kgAja
5
66 kgPollentier
7
62 kgLasa
17
68 kgVan Impe
18
59 kgden Hertog
27
76 kgOvion
34
64 kgDemeyer
41
85 kgBourreau
52
63 kgDierickx
55
74 kgKarstens
61
74 kgMourioux
80
71 kgVasseur
81
67 kgSercu
89
76 kgDucreux
90
65 kgParecchini
97
71 kgVan Looy
99
75 kgAllan
103
73 kg
1
74 kgPoulidor
2
71 kgAja
5
66 kgPollentier
7
62 kgLasa
17
68 kgVan Impe
18
59 kgden Hertog
27
76 kgOvion
34
64 kgDemeyer
41
85 kgBourreau
52
63 kgDierickx
55
74 kgKarstens
61
74 kgMourioux
80
71 kgVasseur
81
67 kgSercu
89
76 kgDucreux
90
65 kgParecchini
97
71 kgVan Looy
99
75 kgAllan
103
73 kg
Weight (KG) →
Result →
85
59
1
103
# | Rider | Weight (KG) |
---|---|---|
1 | MERCKX Eddy | 74 |
2 | POULIDOR Raymond | 71 |
5 | AJA Gonzalo | 66 |
7 | POLLENTIER Michel | 62 |
17 | LASA Miguel María | 68 |
18 | VAN IMPE Lucien | 59 |
27 | DEN HERTOG Fedor | 76 |
34 | OVION Régis | 64 |
41 | DEMEYER Marc | 85 |
52 | BOURREAU Bernard | 63 |
55 | DIERICKX André | 74 |
61 | KARSTENS Gerben | 74 |
80 | MOURIOUX Jacques | 71 |
81 | VASSEUR Alain | 67 |
89 | SERCU Patrick | 76 |
90 | DUCREUX Daniel | 65 |
97 | PARECCHINI Aldo | 71 |
99 | VAN LOOY Frans | 75 |
103 | ALLAN Donald | 73 |