Basic Stats for Urban Planning and Design

Data Description and Evaluation

1. Data Description

Histogram, Mean, Min/Max, Standard Deviation, Skewness, etc.

Histogram and Scatter Plot (Source: Google Image)

2. Linear Regression Analysis

Linear regression has many practical uses. Most applications fall into the following two broad categories: (1) prediction, forecasting, or error reduction with the fitted model (2) quantify the strength of the relationship between the response and the explanatory variables, recognize in the subset of unnecessary information about the response

Linear fitted Line Graph (Source: Google Image)

3. Clustering Analysis

Finding similarity of the objects in a group and different from the objects in other groups. Objects could be cases, points, observations, examples, members, customers, patients, locations, etc.

minimize the distance within a group but maximize the distance between inter-clusters

Clustering Graphs (Source: Google Image)

4. Reliability Analysis

Reliability means to test the consistency of the survey and its reliability as analysis materials — the degree to which an instrument will give similar results for the same individuals at different times. Using correlations, the same test is administrated on two occasions to the same individuals under the same conditions.

• Cronbah’s Alpha value ranges between 0 and 1. Higher means more appropriate. (higher than 0.9: excellent / 0.9–0.8: good / 0.8–0.7: acceptable / 0.7–0.6: questionable / lower than 0.6: unacceptable)