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 = -56.8 * weight + 4475
This means that on average for every extra kilogram weight a rider loses -56.8 positions in the result.
Baffi
1
70 kgCipollini
2
77 kgMartinello
5
71 kgChiappucci
990
67 kgBugno
990
68 kgUgrumov
990
58 kgBruyneel
990
71 kg
1
70 kgCipollini
2
77 kgMartinello
5
71 kgChiappucci
990
67 kgBugno
990
68 kgUgrumov
990
58 kgBruyneel
990
71 kg
Weight (KG) →
Result →
77
58
1
990
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAFFI Adriano | 70 |
| 2 | CIPOLLINI Mario | 77 |
| 5 | MARTINELLO Silvio | 71 |
| 990 | CHIAPPUCCI Claudio | 67 |
| 990 | BUGNO Gianni | 68 |
| 990 | UGRUMOV Piotr | 58 |
| 990 | BRUYNEEL Johan | 71 |