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 - 22
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Marzoli
1
61 kgCelestino
4
67 kgScarponi
6
62 kgNoè
7
65 kgBertagnolli
8
63 kgPospyeyev
9
71 kg
1
61 kgCelestino
4
67 kgScarponi
6
62 kgNoè
7
65 kgBertagnolli
8
63 kgPospyeyev
9
71 kg
Weight (KG) →
Result →
71
61
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARZOLI Ruggero | 61 |
| 4 | CELESTINO Mirko | 67 |
| 6 | SCARPONI Michele | 62 |
| 7 | NOÈ Andrea | 65 |
| 8 | BERTAGNOLLI Leonardo | 63 |
| 9 | POSPYEYEV Kyrylo | 71 |