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 + 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Veneberg
1
75 kgWiggins
6
76 kgBergès
7
68 kgSørensen
8
71 kgKasputis
9
83 kg
1
75 kgWiggins
6
76 kgBergès
7
68 kgSørensen
8
71 kgKasputis
9
83 kg
Weight (KG) →
Result →
83
68
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VENEBERG Thorwald | 75 |
| 6 | WIGGINS Bradley | 76 |
| 7 | BERGÈS Stéphane | 68 |
| 8 | SØRENSEN Nicki | 71 |
| 9 | KASPUTIS Artūras | 83 |