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 = 0.9 * weight - 51
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Bartali
1
69 kgBobet
4
74 kgThiétard
9
68 kgImpanis
10
69 kgOckers
11
61 kgVietto
17
67 kgBevilacqua
33
80 kg
1
69 kgBobet
4
74 kgThiétard
9
68 kgImpanis
10
69 kgOckers
11
61 kgVietto
17
67 kgBevilacqua
33
80 kg
Weight (KG) →
Result →
80
61
1
33
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BARTALI Gino | 69 |
| 4 | BOBET Louison | 74 |
| 9 | THIÉTARD Louis | 68 |
| 10 | IMPANIS Raymond | 69 |
| 11 | OCKERS Stan | 61 |
| 17 | VIETTO René | 67 |
| 33 | BEVILACQUA Antonio | 80 |