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 = -5 * weight + 1103
This means that on average for every extra kilogram weight a rider loses -5 positions in the result.
Moreau
1
77 kgMarie
2
68 kgDuclos-Lassalle
3
73 kgBruyneel
5
71 kgRobin
8
63 kgMuseeuw
990
71 kgJalabert
990
66 kgMoncassin
990
73 kgGayant
990
69 kgSunderland
990
65 kgVerstrepen
990
66 kgVirenque
990
65 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
1
77 kgMarie
2
68 kgDuclos-Lassalle
3
73 kgBruyneel
5
71 kgRobin
8
63 kgMuseeuw
990
71 kgJalabert
990
66 kgMoncassin
990
73 kgGayant
990
69 kgSunderland
990
65 kgVerstrepen
990
66 kgVirenque
990
65 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
1
990
# | Rider | Weight (KG) |
---|---|---|
1 | MOREAU Francis | 77 |
2 | MARIE Thierry | 68 |
3 | DUCLOS-LASSALLE Gilbert | 73 |
5 | BRUYNEEL Johan | 71 |
8 | ROBIN Jean-Cyril | 63 |
990 | MUSEEUW Johan | 71 |
990 | JALABERT Laurent | 66 |
990 | MONCASSIN Frédéric | 73 |
990 | GAYANT Martial | 69 |
990 | SUNDERLAND Scott | 65 |
990 | VERSTREPEN Johan | 66 |
990 | VIRENQUE Richard | 65 |
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 |