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 = 0.1 * weight + 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Pinotti
1
67 kgPirazzi
2
62 kgMalori
3
68 kgCataldo
4
64 kgBoaro
5
64 kgColedan
6
83 kgMarangoni
7
74 kgPagani
9
68 kgRebellin
11
63 kgPasqualon
12
75 kgMoser
14
64 kgBertazzo
15
78 kgFacchini
16
70 kgMalaguti
17
67 kgCecchin
18
70 kgDe Ieso
19
62 kgDelle Stelle
20
65 kgFortin
21
78 kg
1
67 kgPirazzi
2
62 kgMalori
3
68 kgCataldo
4
64 kgBoaro
5
64 kgColedan
6
83 kgMarangoni
7
74 kgPagani
9
68 kgRebellin
11
63 kgPasqualon
12
75 kgMoser
14
64 kgBertazzo
15
78 kgFacchini
16
70 kgMalaguti
17
67 kgCecchin
18
70 kgDe Ieso
19
62 kgDelle Stelle
20
65 kgFortin
21
78 kg
Weight (KG) →
Result →
83
62
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PINOTTI Marco | 67 |
| 2 | PIRAZZI Stefano | 62 |
| 3 | MALORI Adriano | 68 |
| 4 | CATALDO Dario | 64 |
| 5 | BOARO Manuele | 64 |
| 6 | COLEDAN Marco | 83 |
| 7 | MARANGONI Alan | 74 |
| 9 | PAGANI Angelo | 68 |
| 11 | REBELLIN Davide | 63 |
| 12 | PASQUALON Andrea | 75 |
| 14 | MOSER Moreno | 64 |
| 15 | BERTAZZO Omar | 78 |
| 16 | FACCHINI Patrick | 70 |
| 17 | MALAGUTI Alessandro | 67 |
| 18 | CECCHIN Alberto | 70 |
| 19 | DE IESO Donato | 62 |
| 20 | DELLE STELLE Christian | 65 |
| 21 | FORTIN Filippo | 78 |