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 = 19.8 * weight - 582
This means that on average for every extra kilogram weight a rider loses 19.8 positions in the result.
Jalabert
2
66 kgVirenque
5
65 kgDuclos-Lassalle
6
73 kgGayant
8
69 kgMarie
990
68 kgMuseeuw
990
71 kgMoncassin
990
73 kgMoreau
990
77 kgBruyneel
990
71 kgSunderland
990
65 kgVerstrepen
990
66 kgRobin
990
63 kgRoche
990
74 kgTeteriouk
990
72 kgSimon
990
70 kgHolm Sørensen
990
77 kgDjavanian
990
64 kgPeeters
990
76 kgDvorščík
990
68 kgCapelle
990
73 kgMadouas
990
70 kg
2
66 kgVirenque
5
65 kgDuclos-Lassalle
6
73 kgGayant
8
69 kgMarie
990
68 kgMuseeuw
990
71 kgMoncassin
990
73 kgMoreau
990
77 kgBruyneel
990
71 kgSunderland
990
65 kgVerstrepen
990
66 kgRobin
990
63 kgRoche
990
74 kgTeteriouk
990
72 kgSimon
990
70 kgHolm Sørensen
990
77 kgDjavanian
990
64 kgPeeters
990
76 kgDvorščík
990
68 kgCapelle
990
73 kgMadouas
990
70 kg
Weight (KG) →
Result →
77
63
2
990
# | Rider | Weight (KG) |
---|---|---|
2 | JALABERT Laurent | 66 |
5 | VIRENQUE Richard | 65 |
6 | DUCLOS-LASSALLE Gilbert | 73 |
8 | GAYANT Martial | 69 |
990 | MARIE Thierry | 68 |
990 | MUSEEUW Johan | 71 |
990 | MONCASSIN Frédéric | 73 |
990 | MOREAU Francis | 77 |
990 | BRUYNEEL Johan | 71 |
990 | SUNDERLAND Scott | 65 |
990 | VERSTREPEN Johan | 66 |
990 | ROBIN Jean-Cyril | 63 |
990 | ROCHE Stephen | 74 |
990 | TETERIOUK Andrei | 72 |
990 | SIMON François | 70 |
990 | HOLM SØRENSEN Brian | 77 |
990 | DJAVANIAN Viatcheslav | 64 |
990 | PEETERS Wilfried | 76 |
990 | DVORŠČÍK Milan | 68 |
990 | CAPELLE Christophe | 73 |
990 | MADOUAS Laurent | 70 |