Decentralization of mean
for your question, subtract the mean from each measurement.
and then use the data after centralization to do regression, instead of centralization and aggregation
bus line: Metro Line 2 → Metro Line 1, the whole journey is about 10.8km
1. Walk about 670m from Changsha meixihu international culture and Art Center to meixihu east station
2. Take Metro Line 2, pass 7 stops, reach Wuyi Square Station
3. Take Metro Line 1, pass 1 stop, reach peiyuanqiao station
4, walk about 1.2km, Reach POFU International Plaza
bus line: Metro Line 2 → 358, the whole journey is about 11.4km
1. Walk about 670m from Changsha meixihu international culture and Art Center to meixihu east station
2. Take Metro Line 2, pass 7 stops, and reach Wuyi Square Station
3, walk about 360m, Arrive at Huatu Ecation (taipingjiekou) station
4, take bus 358, pass 4 stops, arrive at provincial women and children station
5, walk about 200 meters to POFU International Plaza
From Jinhu square to Guangxi Art Center, it is suggested to use the network map navigation, and choose the bus as the travel mode to display the detailed scheme of taking the bus< br />
for example, if there are data sets 1, 2, 3, 6 and 3, and the mean value is 3, then the data set after centralization is 1-3,2-3,3-3,6-3,3-3, that is: - 2, - 1,0,3,0. The purpose of data centralization is to eliminate the influence of dimension on data structure, because the unit of different variables is not the same, which will cause various statistical errors.
Data standardization means subtracting the mean value from the value and then dividing it by the standard deviation
data centralization refers to subtracting the mean value from the variable
the significance of data centralization and standardization in regression analysis is to eliminate the errors caused by different dimensions, self variation or large difference in values