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 = 0.8 * weight - 51
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Heulot
1
69 kgZberg
2
72 kgSeigneur
5
71 kgMoncassin
6
73 kgCipollini
7
77 kgKoerts
9
78 kg
1
69 kgZberg
2
72 kgSeigneur
5
71 kgMoncassin
6
73 kgCipollini
7
77 kgKoerts
9
78 kg
Weight (KG) →
Result →
78
69
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HEULOT Stéphane | 69 |
| 2 | ZBERG Beat | 72 |
| 5 | SEIGNEUR Eddy | 71 |
| 6 | MONCASSIN Frédéric | 73 |
| 7 | CIPOLLINI Mario | 77 |
| 9 | KOERTS Jans | 78 |