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 = 0.5 * weight - 21
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Visconti
1
63 kgSantambrogio
2
63 kgPonzi
3
63 kgCaruso
4
60 kgPozzovivo
5
53 kgSantaromita
7
58 kgBallan
8
73 kgBaliani
9
66 kgPaolini
10
66 kgMarcato
11
67 kgBellotti
12
65 kgTosatto
13
74 kgFinetto
14
62 kgMazzanti
15
64 kgBenedetti
16
63 kgMontaguti
18
65 kgCaruso
19
67 kgPasqualon
20
75 kgUlissi
21
63 kgBertolini
22
63 kgBandiera
23
68 kg
1
63 kgSantambrogio
2
63 kgPonzi
3
63 kgCaruso
4
60 kgPozzovivo
5
53 kgSantaromita
7
58 kgBallan
8
73 kgBaliani
9
66 kgPaolini
10
66 kgMarcato
11
67 kgBellotti
12
65 kgTosatto
13
74 kgFinetto
14
62 kgMazzanti
15
64 kgBenedetti
16
63 kgMontaguti
18
65 kgCaruso
19
67 kgPasqualon
20
75 kgUlissi
21
63 kgBertolini
22
63 kgBandiera
23
68 kg
Weight (KG) →
Result →
75
53
1
23
# | Rider | Weight (KG) |
---|---|---|
1 | VISCONTI Giovanni | 63 |
2 | SANTAMBROGIO Mauro | 63 |
3 | PONZI Simone | 63 |
4 | CARUSO Giampaolo | 60 |
5 | POZZOVIVO Domenico | 53 |
7 | SANTAROMITA Ivan | 58 |
8 | BALLAN Alessandro | 73 |
9 | BALIANI Fortunato | 66 |
10 | PAOLINI Luca | 66 |
11 | MARCATO Marco | 67 |
12 | BELLOTTI Francesco | 65 |
13 | TOSATTO Matteo | 74 |
14 | FINETTO Mauro | 62 |
15 | MAZZANTI Luca | 64 |
16 | BENEDETTI Cesare | 63 |
18 | MONTAGUTI Matteo | 65 |
19 | CARUSO Damiano | 67 |
20 | PASQUALON Andrea | 75 |
21 | ULISSI Diego | 63 |
22 | BERTOLINI Alessandro | 63 |
23 | BANDIERA Marco | 68 |