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 = 0.6 * weight - 23
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Moreni
1
65 kgMarinangeli
2
65 kgGerosa
3
72 kgBossoni
4
62 kgDi Luca
5
61 kgBertolini
6
63 kgValoti
8
64 kgMilesi
10
78 kgBettini
11
58 kgCommesso
14
66 kgBertagnolli
17
63 kgSimeoni
18
68 kgPozzato
19
73 kgGiordani
20
68 kgLoda
22
73 kgBaldato
23
60 kgFailli
24
65 kgBartoli
25
65 kgNocentini
26
60 kgCaucchioli
30
68 kgZanini
31
80 kgBruseghin
32
70 kgGuidi
35
73 kg
1
65 kgMarinangeli
2
65 kgGerosa
3
72 kgBossoni
4
62 kgDi Luca
5
61 kgBertolini
6
63 kgValoti
8
64 kgMilesi
10
78 kgBettini
11
58 kgCommesso
14
66 kgBertagnolli
17
63 kgSimeoni
18
68 kgPozzato
19
73 kgGiordani
20
68 kgLoda
22
73 kgBaldato
23
60 kgFailli
24
65 kgBartoli
25
65 kgNocentini
26
60 kgCaucchioli
30
68 kgZanini
31
80 kgBruseghin
32
70 kgGuidi
35
73 kg
Weight (KG) →
Result →
80
58
1
35
# | Rider | Weight (KG) |
---|---|---|
1 | MORENI Cristian | 65 |
2 | MARINANGELI Sergio | 65 |
3 | GEROSA Mauro | 72 |
4 | BOSSONI Paolo | 62 |
5 | DI LUCA Danilo | 61 |
6 | BERTOLINI Alessandro | 63 |
8 | VALOTI Paolo | 64 |
10 | MILESI Marco | 78 |
11 | BETTINI Paolo | 58 |
14 | COMMESSO Salvatore | 66 |
17 | BERTAGNOLLI Leonardo | 63 |
18 | SIMEONI Filippo | 68 |
19 | POZZATO Filippo | 73 |
20 | GIORDANI Leonardo | 68 |
22 | LODA Nicola | 73 |
23 | BALDATO Fabio | 60 |
24 | FAILLI Francesco | 65 |
25 | BARTOLI Michele | 65 |
26 | NOCENTINI Rinaldo | 60 |
30 | CAUCCHIOLI Pietro | 68 |
31 | ZANINI Stefano | 80 |
32 | BRUSEGHIN Marzio | 70 |
35 | GUIDI Fabrizio | 73 |