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 = 1.7 * weight - 90
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | HINAULT Bernard | 62 |
4 | PRIM Tommy | 76 |
5 | BARONCHELLI Gianbattista | 72 |
7 | SARONNI Giuseppe | 65 |
12 | BERNAUDEAU Jean-René | 64 |
15 | KNUDSEN Knut | 79 |
18 | LASA Miguel María | 68 |
24 | FERNÁNDEZ Juan | 68 |
33 | MARCUSSEN Jørgen | 70 |
41 | LADRÓN Rafael | 74 |
45 | DIDIER Lucien | 67 |
56 | GAVAZZI Pierino | 67 |
70 | ALGERI Vittorio | 68 |
77 | MARTINELLI Giuseppe | 74 |
81 | SCHUITEN Roy | 83 |