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 = 16.4 * weight - 537
This means that on average for every extra kilogram weight a rider loses 16.4 positions in the result.
Casagrande
1
64 kgGuidi
2
73 kgMuseeuw
3
71 kgOdriozola
6
70 kgCamenzind
7
62 kgVirenque
8
65 kgChiappucci
9
67 kgDonati
10
75 kgLombardi
990
73 kgPiccoli
990
64 kgHervé
990
62 kgBrochard
990
68 kgOlano
990
70 kgBruyneel
990
71 kgLelli
990
69 kgHvastija
990
75 kgBallerini
990
78 kgBugno
990
68 kgElli
990
71 kgRichard
990
67 kg
1
64 kgGuidi
2
73 kgMuseeuw
3
71 kgOdriozola
6
70 kgCamenzind
7
62 kgVirenque
8
65 kgChiappucci
9
67 kgDonati
10
75 kgLombardi
990
73 kgPiccoli
990
64 kgHervé
990
62 kgBrochard
990
68 kgOlano
990
70 kgBruyneel
990
71 kgLelli
990
69 kgHvastija
990
75 kgBallerini
990
78 kgBugno
990
68 kgElli
990
71 kgRichard
990
67 kg
Weight (KG) →
Result →
78
62
1
990
# | Rider | Weight (KG) |
---|---|---|
1 | CASAGRANDE Francesco | 64 |
2 | GUIDI Fabrizio | 73 |
3 | MUSEEUW Johan | 71 |
6 | ODRIOZOLA Jon | 70 |
7 | CAMENZIND Oscar | 62 |
8 | VIRENQUE Richard | 65 |
9 | CHIAPPUCCI Claudio | 67 |
10 | DONATI Massimo | 75 |
990 | LOMBARDI Giovanni | 73 |
990 | PICCOLI Mariano | 64 |
990 | HERVÉ Pascal | 62 |
990 | BROCHARD Laurent | 68 |
990 | OLANO Abraham | 70 |
990 | BRUYNEEL Johan | 71 |
990 | LELLI Massimiliano | 69 |
990 | HVASTIJA Martin | 75 |
990 | BALLERINI Franco | 78 |
990 | BUGNO Gianni | 68 |
990 | ELLI Alberto | 71 |
990 | RICHARD Pascal | 67 |