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 + 26
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Vanderaerden
1
74 kgRoche
5
74 kgLeMond
7
67 kgSergeant
8
76 kgKelly
9
77 kgMadiot
11
68 kgBauer
15
72 kg
1
74 kgRoche
5
74 kgLeMond
7
67 kgSergeant
8
76 kgKelly
9
77 kgMadiot
11
68 kgBauer
15
72 kg
Weight (KG) →
Result →
77
67
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VANDERAERDEN Eric | 74 |
| 5 | ROCHE Stephen | 74 |
| 7 | LEMOND Greg | 67 |
| 8 | SERGEANT Marc | 76 |
| 9 | KELLY Sean | 77 |
| 11 | MADIOT Marc | 68 |
| 15 | BAUER Steve | 72 |