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 = 53.7 * weight - 2964
This means that on average for every extra kilogram weight a rider loses 53.7 positions in the result.
Argentin
1
66 kgBerzin
2
64 kgCasagrande
3
64 kgPantani
4
58 kgBartoli
9
65 kgRebellin
10
63 kgImboden
990
70 kgCenghialta
990
73 kgChiappucci
990
67 kgBugno
990
68 kgBourguignon
990
72 kgGotti
990
65 kgShefer
990
68 kgSciandri
990
75 kgPiccoli
990
64 kgTonkov
990
70 kgZanini
990
80 kgBonča
990
63 kg
1
66 kgBerzin
2
64 kgCasagrande
3
64 kgPantani
4
58 kgBartoli
9
65 kgRebellin
10
63 kgImboden
990
70 kgCenghialta
990
73 kgChiappucci
990
67 kgBugno
990
68 kgBourguignon
990
72 kgGotti
990
65 kgShefer
990
68 kgSciandri
990
75 kgPiccoli
990
64 kgTonkov
990
70 kgZanini
990
80 kgBonča
990
63 kg
Weight (KG) →
Result →
80
58
1
990
# | Rider | Weight (KG) |
---|---|---|
1 | ARGENTIN Moreno | 66 |
2 | BERZIN Evgeni | 64 |
3 | CASAGRANDE Francesco | 64 |
4 | PANTANI Marco | 58 |
9 | BARTOLI Michele | 65 |
10 | REBELLIN Davide | 63 |
990 | IMBODEN Heinz | 70 |
990 | CENGHIALTA Bruno | 73 |
990 | CHIAPPUCCI Claudio | 67 |
990 | BUGNO Gianni | 68 |
990 | BOURGUIGNON Thierry | 72 |
990 | GOTTI Ivan | 65 |
990 | SHEFER Alexandre | 68 |
990 | SCIANDRI Maximilian | 75 |
990 | PICCOLI Mariano | 64 |
990 | TONKOV Pavel | 70 |
990 | ZANINI Stefano | 80 |
990 | BONČA Valter | 63 |