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 = 0.1 * weight + 7
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Reijnen
1
63 kgSummerhill
2
70 kgHowes
3
61 kgHermans
4
72 kgJones
6
64 kgBusche
7
69 kgAcevedo
9
63 kgRogers
10
74 kgSchär
11
78 kgMegías
12
63 kgEuser
13
56 kgRosskopf
14
74 kgPoljański
15
63 kgLemus
16
61 kgBookwalter
18
70 kgJaramillo
19
63 kgMohorič
21
71 kgDaniel
22
64 kgKocjan
23
72 kg
1
63 kgSummerhill
2
70 kgHowes
3
61 kgHermans
4
72 kgJones
6
64 kgBusche
7
69 kgAcevedo
9
63 kgRogers
10
74 kgSchär
11
78 kgMegías
12
63 kgEuser
13
56 kgRosskopf
14
74 kgPoljański
15
63 kgLemus
16
61 kgBookwalter
18
70 kgJaramillo
19
63 kgMohorič
21
71 kgDaniel
22
64 kgKocjan
23
72 kg
Weight (KG) →
Result →
78
56
1
23
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | REIJNEN Kiel | 63 |
| 2 | SUMMERHILL Daniel | 70 |
| 3 | HOWES Alex | 61 |
| 4 | HERMANS Ben | 72 |
| 6 | JONES Carter | 64 |
| 7 | BUSCHE Matthew | 69 |
| 9 | ACEVEDO Janier | 63 |
| 10 | ROGERS Michael | 74 |
| 11 | SCHÄR Michael | 78 |
| 12 | MEGÍAS Javier | 63 |
| 13 | EUSER Lucas | 56 |
| 14 | ROSSKOPF Joey | 74 |
| 15 | POLJAŃSKI Paweł | 63 |
| 16 | LEMUS Luis | 61 |
| 18 | BOOKWALTER Brent | 70 |
| 19 | JARAMILLO Daniel | 63 |
| 21 | MOHORIČ Matej | 71 |
| 22 | DANIEL Gregory | 64 |
| 23 | KOCJAN Jure | 72 |