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 = 3.4 * weight - 171
This means that on average for every extra kilogram weight a rider loses 3.4 positions in the result.
Verdonck
5
63 kgHuitema
21
72 kgTammepuu
40
68 kgZijlstra
51
68 kgLunt
133
95 kgPapadopoulos
135
69 kgVerver
137
75 kg
5
63 kgHuitema
21
72 kgTammepuu
40
68 kgZijlstra
51
68 kgLunt
133
95 kgPapadopoulos
135
69 kgVerver
137
75 kg
Weight (KG) →
Result →
95
63
5
137
# | Rider | Weight (KG) |
---|---|---|
5 | VERDONCK Thomas | 63 |
21 | HUITEMA Thomas | 72 |
40 | TAMMEPUU Riko | 68 |
51 | ZIJLSTRA Youri | 68 |
133 | LUNT Jake | 95 |
135 | PAPADOPOULOS Antonios | 69 |
137 | VERVER Bram | 75 |