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 = 9.4 * weight + 39
This means that on average for every extra kilogram weight a rider loses 9.4 positions in the result.
Szurkowski
3
77 kgKarstens
4
74 kgKuiper
15
69 kgDucreux
16
65 kgGaida
19
65 kgMerckx
990
74 kgPoulidor
990
71 kgZoetemelk
990
68 kgGimondi
990
78 kgRodríguez
990
70 kgMortensen
990
70 kgDierickx
990
74 kgBourreau
990
63 kgLasa
990
68 kgMytnik
990
75 kgAlgeri
990
69 kgGilson
990
70 kg
3
77 kgKarstens
4
74 kgKuiper
15
69 kgDucreux
16
65 kgGaida
19
65 kgMerckx
990
74 kgPoulidor
990
71 kgZoetemelk
990
68 kgGimondi
990
78 kgRodríguez
990
70 kgMortensen
990
70 kgDierickx
990
74 kgBourreau
990
63 kgLasa
990
68 kgMytnik
990
75 kgAlgeri
990
69 kgGilson
990
70 kg
Weight (KG) →
Result →
78
63
3
990
# | Rider | Weight (KG) |
---|---|---|
3 | SZURKOWSKI Ryszard | 77 |
4 | KARSTENS Gerben | 74 |
15 | KUIPER Hennie | 69 |
16 | DUCREUX Daniel | 65 |
19 | GAIDA Alfred | 65 |
990 | MERCKX Eddy | 74 |
990 | POULIDOR Raymond | 71 |
990 | ZOETEMELK Joop | 68 |
990 | GIMONDI Felice | 78 |
990 | RODRÍGUEZ Martín Emilio | 70 |
990 | MORTENSEN Leif | 70 |
990 | DIERICKX André | 74 |
990 | BOURREAU Bernard | 63 |
990 | LASA Miguel María | 68 |
990 | MYTNIK Tadeusz | 75 |
990 | ALGERI Pietro | 69 |
990 | GILSON Roger | 70 |