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 = 0.3 * weight - 7
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Rebellin
1
63 kgDi Grande
2
58 kgSciandri
3
75 kgCelestino
6
67 kgNardello
7
74 kgChanteur
8
62 kgCasarotto
9
74 kgBölts
10
73 kgBertolini
12
63 kgZanetti
13
66 kgSimeoni
14
68 kgCommesso
16
66 kgPeron
18
70 kgMilesi
23
78 kgBaldato
24
60 kgCenghialta
25
73 kgForconi
26
71 kgRichard
27
67 kg
1
63 kgDi Grande
2
58 kgSciandri
3
75 kgCelestino
6
67 kgNardello
7
74 kgChanteur
8
62 kgCasarotto
9
74 kgBölts
10
73 kgBertolini
12
63 kgZanetti
13
66 kgSimeoni
14
68 kgCommesso
16
66 kgPeron
18
70 kgMilesi
23
78 kgBaldato
24
60 kgCenghialta
25
73 kgForconi
26
71 kgRichard
27
67 kg
Weight (KG) →
Result →
78
58
1
27
# | Rider | Weight (KG) |
---|---|---|
1 | REBELLIN Davide | 63 |
2 | DI GRANDE Giuseppe | 58 |
3 | SCIANDRI Maximilian | 75 |
6 | CELESTINO Mirko | 67 |
7 | NARDELLO Daniele | 74 |
8 | CHANTEUR Pascal | 62 |
9 | CASAROTTO Davide | 74 |
10 | BÖLTS Udo | 73 |
12 | BERTOLINI Alessandro | 63 |
13 | ZANETTI Mauro | 66 |
14 | SIMEONI Filippo | 68 |
16 | COMMESSO Salvatore | 66 |
18 | PERON Andrea | 70 |
23 | MILESI Marco | 78 |
24 | BALDATO Fabio | 60 |
25 | CENGHIALTA Bruno | 73 |
26 | FORCONI Riccardo | 71 |
27 | RICHARD Pascal | 67 |