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 = 0.3 * weight - 17
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
LeMond
1
67 kgMartin
2
62 kgUgrumov
6
58 kgDrogan
9
69 kgSukhoruchenkov
10
72 kg
1
67 kgMartin
2
62 kgUgrumov
6
58 kgDrogan
9
69 kgSukhoruchenkov
10
72 kg
Weight (KG) →
Result →
72
58
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LEMOND Greg | 67 |
| 2 | MARTIN Raymond | 62 |
| 6 | UGRUMOV Piotr | 58 |
| 9 | DROGAN Bernd | 69 |
| 10 | SUKHORUCHENKOV Sergei | 72 |