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 = -16.5 * weight + 1927
This means that on average for every extra kilogram weight a rider loses -16.5 positions in the result.
De Wolf
1
75 kgde Rooij
5
69 kgFernández
6
68 kgVilamajo
990
70 kgvan den Hoek
990
77 kgZoetemelk
990
68 kgGavazzi
990
67 kgDigerud
990
77 kgTrevorrow
990
67 kgWinnen
990
60 kgDemierre
990
70 kgSutter
990
70 kgThaler
990
60 kgvan der Poel
990
70 kgSchepers
990
60 kgPollentier
990
62 kg
1
75 kgde Rooij
5
69 kgFernández
6
68 kgVilamajo
990
70 kgvan den Hoek
990
77 kgZoetemelk
990
68 kgGavazzi
990
67 kgDigerud
990
77 kgTrevorrow
990
67 kgWinnen
990
60 kgDemierre
990
70 kgSutter
990
70 kgThaler
990
60 kgvan der Poel
990
70 kgSchepers
990
60 kgPollentier
990
62 kg
Weight (KG) →
Result →
77
60
1
990
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE WOLF Fons | 75 |
| 5 | DE ROOIJ Theo | 69 |
| 6 | FERNÁNDEZ Juan | 68 |
| 990 | VILAMAJO Jaime | 70 |
| 990 | VAN DEN HOEK Aad | 77 |
| 990 | ZOETEMELK Joop | 68 |
| 990 | GAVAZZI Pierino | 67 |
| 990 | DIGERUD Geir | 77 |
| 990 | TREVORROW John | 67 |
| 990 | WINNEN Peter | 60 |
| 990 | DEMIERRE Serge | 70 |
| 990 | SUTTER Ueli | 70 |
| 990 | THALER Klaus-Peter | 60 |
| 990 | VAN DER POEL Adrie | 70 |
| 990 | SCHEPERS Eddy | 60 |
| 990 | POLLENTIER Michel | 62 |