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 = 0.4 * weight - 18
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Pinotti
1
67 kgCataldo
2
64 kgMalori
3
68 kgMontaguti
4
65 kgQuinziato
5
74 kgVisconti
6
63 kgChiarini
7
70 kgBruseghin
8
70 kgMarangoni
9
74 kgAscani
11
75 kgErmeti
12
60 kgBalloni
13
72 kgDe Marchi
14
65 kgCimolai
15
70 kgCaccia
16
70 kgCaruso
17
67 kgMalacarne
19
63 kgColli
20
73 kgMalaguti
21
67 kgLongo Borghini
29
76 kg
1
67 kgCataldo
2
64 kgMalori
3
68 kgMontaguti
4
65 kgQuinziato
5
74 kgVisconti
6
63 kgChiarini
7
70 kgBruseghin
8
70 kgMarangoni
9
74 kgAscani
11
75 kgErmeti
12
60 kgBalloni
13
72 kgDe Marchi
14
65 kgCimolai
15
70 kgCaccia
16
70 kgCaruso
17
67 kgMalacarne
19
63 kgColli
20
73 kgMalaguti
21
67 kgLongo Borghini
29
76 kg
Weight (KG) →
Result →
76
60
1
29
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PINOTTI Marco | 67 |
| 2 | CATALDO Dario | 64 |
| 3 | MALORI Adriano | 68 |
| 4 | MONTAGUTI Matteo | 65 |
| 5 | QUINZIATO Manuel | 74 |
| 6 | VISCONTI Giovanni | 63 |
| 7 | CHIARINI Riccardo | 70 |
| 8 | BRUSEGHIN Marzio | 70 |
| 9 | MARANGONI Alan | 74 |
| 11 | ASCANI Luca | 75 |
| 12 | ERMETI Giairo | 60 |
| 13 | BALLONI Alfredo | 72 |
| 14 | DE MARCHI Alessandro | 65 |
| 15 | CIMOLAI Davide | 70 |
| 16 | CACCIA Diego | 70 |
| 17 | CARUSO Damiano | 67 |
| 19 | MALACARNE Davide | 63 |
| 20 | COLLI Daniele | 73 |
| 21 | MALAGUTI Alessandro | 67 |
| 29 | LONGO BORGHINI Paolo | 76 |