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 + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Zanini
1
80 kgDjavanian
2
64 kgBaldato
3
60 kgMori
5
77 kgArrieta
7
68 kgChiappucci
8
67 kgGarzelli
9
62 kg
1
80 kgDjavanian
2
64 kgBaldato
3
60 kgMori
5
77 kgArrieta
7
68 kgChiappucci
8
67 kgGarzelli
9
62 kg
Weight (KG) →
Result →
80
60
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZANINI Stefano | 80 |
| 2 | DJAVANIAN Viatcheslav | 64 |
| 3 | BALDATO Fabio | 60 |
| 5 | MORI Massimiliano | 77 |
| 7 | ARRIETA José Luis | 68 |
| 8 | CHIAPPUCCI Claudio | 67 |
| 9 | GARZELLI Stefano | 62 |