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 = -27.9 * weight + 2607
This means that on average for every extra kilogram weight a rider loses -27.9 positions in the result.
Baffi
1
70 kgZanini
4
80 kgMartinello
5
71 kgSimon
8
70 kgChiappucci
9
67 kgBonča
10
63 kgImboden
990
70 kgCenghialta
990
73 kgBerzin
990
64 kgBugno
990
68 kgBourguignon
990
72 kgGotti
990
65 kgShefer
990
68 kgPantani
990
58 kgSciandri
990
75 kgPiccoli
990
64 kgBartoli
990
65 kgCasagrande
990
64 kgTonkov
990
70 kgRebellin
990
63 kgArgentin
990
66 kg
1
70 kgZanini
4
80 kgMartinello
5
71 kgSimon
8
70 kgChiappucci
9
67 kgBonča
10
63 kgImboden
990
70 kgCenghialta
990
73 kgBerzin
990
64 kgBugno
990
68 kgBourguignon
990
72 kgGotti
990
65 kgShefer
990
68 kgPantani
990
58 kgSciandri
990
75 kgPiccoli
990
64 kgBartoli
990
65 kgCasagrande
990
64 kgTonkov
990
70 kgRebellin
990
63 kgArgentin
990
66 kg
Weight (KG) →
Result →
80
58
1
990
# | Rider | Weight (KG) |
---|---|---|
1 | BAFFI Adriano | 70 |
4 | ZANINI Stefano | 80 |
5 | MARTINELLO Silvio | 71 |
8 | SIMON François | 70 |
9 | CHIAPPUCCI Claudio | 67 |
10 | BONČA Valter | 63 |
990 | IMBODEN Heinz | 70 |
990 | CENGHIALTA Bruno | 73 |
990 | BERZIN Evgeni | 64 |
990 | BUGNO Gianni | 68 |
990 | BOURGUIGNON Thierry | 72 |
990 | GOTTI Ivan | 65 |
990 | SHEFER Alexandre | 68 |
990 | PANTANI Marco | 58 |
990 | SCIANDRI Maximilian | 75 |
990 | PICCOLI Mariano | 64 |
990 | BARTOLI Michele | 65 |
990 | CASAGRANDE Francesco | 64 |
990 | TONKOV Pavel | 70 |
990 | REBELLIN Davide | 63 |
990 | ARGENTIN Moreno | 66 |