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 = -0.2 * weight + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LUTSENKO Alexey | 74 |
| 2 | ULISSI Diego | 63 |
| 4 | YATES Adam | 58 |
| 5 | VOISARD Yannis | 56 |
| 7 | BENNETT George | 58 |
| 9 | SIVAKOV Pavel | 70 |
| 10 | SUAZA Bernardo | 66 |
| 11 | TIZZA Marco | 58 |
| 12 | DOUBLE Paul | 56 |
| 13 | LOCK Dennis | 58 |
| 14 | STOCKMAN Abram | 67 |
| 15 | TONELLI Alessandro | 64 |
| 17 | BRENNER Marco | 59 |