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 + 41
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Pozzato
1
73 kgSpezialetti
2
67 kgBartoli
4
65 kgCarrara
5
67 kgCamenzind
7
62 kgPetito
9
78 kgValjavec
10
59 kgAlbizu
14
61 kgMarzoli
15
61 kgCheula
16
62 kgPietropolli
18
61 kgde la Fuente
20
67 kgFacci
23
68 kgTosatto
27
74 kgMasciarelli
31
61 kgZucconi
32
63 kgMazzanti
33
64 kg
1
73 kgSpezialetti
2
67 kgBartoli
4
65 kgCarrara
5
67 kgCamenzind
7
62 kgPetito
9
78 kgValjavec
10
59 kgAlbizu
14
61 kgMarzoli
15
61 kgCheula
16
62 kgPietropolli
18
61 kgde la Fuente
20
67 kgFacci
23
68 kgTosatto
27
74 kgMasciarelli
31
61 kgZucconi
32
63 kgMazzanti
33
64 kg
Weight (KG) →
Result →
78
59
1
33
# | Rider | Weight (KG) |
---|---|---|
1 | POZZATO Filippo | 73 |
2 | SPEZIALETTI Alessandro | 67 |
4 | BARTOLI Michele | 65 |
5 | CARRARA Matteo | 67 |
7 | CAMENZIND Oscar | 62 |
9 | PETITO Roberto | 78 |
10 | VALJAVEC Tadej | 59 |
14 | ALBIZU Joseba | 61 |
15 | MARZOLI Ruggero | 61 |
16 | CHEULA Giampaolo | 62 |
18 | PIETROPOLLI Daniele | 61 |
20 | DE LA FUENTE David | 67 |
23 | FACCI Mauro | 68 |
27 | TOSATTO Matteo | 74 |
31 | MASCIARELLI Andrea | 61 |
32 | ZUCCONI Pietro | 63 |
33 | MAZZANTI Luca | 64 |