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 = -0.5 * weight + 51
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Baška
1
74 kgKoch
4
75 kgKasperkiewicz
5
71 kgStosz
7
70 kgMeijers
8
68 kgKolář
9
90 kgVallée
10
79 kgMeijers
11
70 kgRoosen
12
78 kgVan Meirhaeghe
15
71 kgRickaert
23
88 kgStöhr
24
72 kgPiaskowy
25
60 kgKaczmarek
26
66 kgTurek
29
72 kgFranczak
31
63 kgBeyer
34
75 kgStöhr
37
66 kg
1
74 kgKoch
4
75 kgKasperkiewicz
5
71 kgStosz
7
70 kgMeijers
8
68 kgKolář
9
90 kgVallée
10
79 kgMeijers
11
70 kgRoosen
12
78 kgVan Meirhaeghe
15
71 kgRickaert
23
88 kgStöhr
24
72 kgPiaskowy
25
60 kgKaczmarek
26
66 kgTurek
29
72 kgFranczak
31
63 kgBeyer
34
75 kgStöhr
37
66 kg
Weight (KG) →
Result →
90
60
1
37
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAŠKA Erik | 74 |
| 4 | KOCH Jonas | 75 |
| 5 | KASPERKIEWICZ Przemysław | 71 |
| 7 | STOSZ Patryk | 70 |
| 8 | MEIJERS Jeroen | 68 |
| 9 | KOLÁŘ Michael | 90 |
| 10 | VALLÉE Boris | 79 |
| 11 | MEIJERS Daan | 70 |
| 12 | ROOSEN Timo | 78 |
| 15 | VAN MEIRHAEGHE Jef | 71 |
| 23 | RICKAERT Jonas | 88 |
| 24 | STÖHR Ján | 72 |
| 25 | PIASKOWY Emanuel | 60 |
| 26 | KACZMAREK Jakub | 66 |
| 29 | TUREK Daniel | 72 |
| 31 | FRANCZAK Paweł | 63 |
| 34 | BEYER Maximilian | 75 |
| 37 | STÖHR Pavel | 66 |