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 = -0.2 * weight + 30
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Commesso
1
66 kgPetito
2
78 kgElli
3
71 kgCelestino
4
67 kgDi Grande
5
58 kgSerpellini
6
75 kgValoti
8
64 kgTosatto
9
74 kgRebellin
10
63 kgVelo
12
70 kgMori
14
77 kgPiccoli
15
64 kgSimoni
18
59 kgCasagrande
19
64 kgBasso
22
70 kgNardello
24
74 kgSgambelluri
27
63 kgMazzoleni
38
67 kg
1
66 kgPetito
2
78 kgElli
3
71 kgCelestino
4
67 kgDi Grande
5
58 kgSerpellini
6
75 kgValoti
8
64 kgTosatto
9
74 kgRebellin
10
63 kgVelo
12
70 kgMori
14
77 kgPiccoli
15
64 kgSimoni
18
59 kgCasagrande
19
64 kgBasso
22
70 kgNardello
24
74 kgSgambelluri
27
63 kgMazzoleni
38
67 kg
Weight (KG) →
Result →
78
58
1
38
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | COMMESSO Salvatore | 66 |
| 2 | PETITO Roberto | 78 |
| 3 | ELLI Alberto | 71 |
| 4 | CELESTINO Mirko | 67 |
| 5 | DI GRANDE Giuseppe | 58 |
| 6 | SERPELLINI Marco | 75 |
| 8 | VALOTI Paolo | 64 |
| 9 | TOSATTO Matteo | 74 |
| 10 | REBELLIN Davide | 63 |
| 12 | VELO Marco | 70 |
| 14 | MORI Massimiliano | 77 |
| 15 | PICCOLI Mariano | 64 |
| 18 | SIMONI Gilberto | 59 |
| 19 | CASAGRANDE Francesco | 64 |
| 22 | BASSO Ivan | 70 |
| 24 | NARDELLO Daniele | 74 |
| 27 | SGAMBELLURI Roberto | 63 |
| 38 | MAZZOLENI Eddy | 67 |