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 * weight + 15
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Cataldo
1
64 kgMalori
2
68 kgPinotti
3
67 kgDall'Antonia
4
70 kgMoser
5
64 kgMarangoni
6
74 kgMontaguti
7
65 kgTrentin
8
74 kgBalloni
9
72 kgMiletta
11
63 kgBoaro
12
64 kgReda
13
70 kgBertazzo
14
78 kgCaccia
15
70 kgBasso
16
70 kgViviani
17
67 kgFranzoi
18
70 kgMalacarne
19
63 kgDe Marchi
21
65 kgFrapporti
23
69 kgPalini
25
67 kgFelline
27
68 kg
1
64 kgMalori
2
68 kgPinotti
3
67 kgDall'Antonia
4
70 kgMoser
5
64 kgMarangoni
6
74 kgMontaguti
7
65 kgTrentin
8
74 kgBalloni
9
72 kgMiletta
11
63 kgBoaro
12
64 kgReda
13
70 kgBertazzo
14
78 kgCaccia
15
70 kgBasso
16
70 kgViviani
17
67 kgFranzoi
18
70 kgMalacarne
19
63 kgDe Marchi
21
65 kgFrapporti
23
69 kgPalini
25
67 kgFelline
27
68 kg
Weight (KG) →
Result →
78
63
1
27
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CATALDO Dario | 64 |
| 2 | MALORI Adriano | 68 |
| 3 | PINOTTI Marco | 67 |
| 4 | DALL'ANTONIA Tiziano | 70 |
| 5 | MOSER Moreno | 64 |
| 6 | MARANGONI Alan | 74 |
| 7 | MONTAGUTI Matteo | 65 |
| 8 | TRENTIN Matteo | 74 |
| 9 | BALLONI Alfredo | 72 |
| 11 | MILETTA Luigi | 63 |
| 12 | BOARO Manuele | 64 |
| 13 | REDA Francesco | 70 |
| 14 | BERTAZZO Omar | 78 |
| 15 | CACCIA Diego | 70 |
| 16 | BASSO Ivan | 70 |
| 17 | VIVIANI Elia | 67 |
| 18 | FRANZOI Enrico | 70 |
| 19 | MALACARNE Davide | 63 |
| 21 | DE MARCHI Alessandro | 65 |
| 23 | FRAPPORTI Marco | 69 |
| 25 | PALINI Andrea | 67 |
| 27 | FELLINE Fabio | 68 |