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 = 0.6 * weight - 30
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Donati
2
75 kgRebellin
3
63 kgBelli
4
64 kgNardello
7
74 kgSimeoni
12
68 kgBartoli
15
65 kgTafi
36
73 kg
2
75 kgRebellin
3
63 kgBelli
4
64 kgNardello
7
74 kgSimeoni
12
68 kgBartoli
15
65 kgTafi
36
73 kg
Weight (KG) →
Result →
75
63
2
36
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DONATI Massimo | 75 |
| 3 | REBELLIN Davide | 63 |
| 4 | BELLI Wladimir | 64 |
| 7 | NARDELLO Daniele | 74 |
| 12 | SIMEONI Filippo | 68 |
| 15 | BARTOLI Michele | 65 |
| 36 | TAFI Andrea | 73 |