自变量中有定性变量的回归
例1(highschoo.sav)的数据中,还有一个自变量是定性变量“收入”,以虚拟变量或哑元(dummy variable)的方式出现;这里收入的“低”,“中”,“高”，用1,2,3来代表.所以,如果要用这种哑元进行前面回归就没有道理了.
以例1数据为例,可以用下面的模型来描述:
2021-12-17 01:41:05
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Pearson Correlation
The Pearson correlation allows us to establish the strength of relationships between continuous variables.
To show the relationship, the first step is to draw a scatterplot or scattergram, which can help us to obtain a preliminary understanding of this relationship.
The scatterplot can be described in terms of direction, strength and linearity.
Correlation and SPSS
Pearson product-moment coefficient is designed for interval level (continuous) variables. It can also be used if you have one continuous variable (e.g., scores on a measure of self-esteem) and one dichotomous variable (e.g., sex: M/F).
Spearman rank order correlation is designed for use with ordinal level or ranked data.
SPSS will calculate two types of correlation. First, it will give a simple bivariate correlation (which just means between two variables), also known as zero-order correlation. SPSS will also explore the relationship between two variables, while controlling for another variable. This is known as partial correlation.
2021-08-07 14:05:19
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