This web page is going to look at regression analysis on SPSS. It will endeveour to explainRegression Analysis
Regression analysis is used to specifiy and test a functional relationship between variables.
Regressiona analysis provides us with a simplified view of relationships between variables:
The independant variable is the variable that we manipulate
The dependant varibale will later as a consequence of the the manipulation
of the independant varibale.
the equation for this is:
where:
= the predicted value of
the dependant variable
x = the observed value of the indepnet variable
a = the intercept
b = the slope of the line
to calculate this in SPSS follow these wonderful instructions....
1. Enter the data into 2 columns. Named appriopately.
2. Click on analysis then regression, and then linear. As shown below in Figure 1
Figure 1.
3. Within the box select the independant variable and use the
arrow key to move it into the box titled depenedant.
Move the independent variable to the box labeled
independant.
These can be seen below in Figure 2.
Figure 2
4. Clicking on statistics, plots and save can produce addtional
outputs. Under save Items useful additional information includes
predicted values residuals and confidence
intervals associated with x and y. See Figure 3.
Figure 3
5. Clicking OK on linear regression will perform the regression
analysis this produces a regression of the dependent variable
vs the independent variable. Output
will consised of the variables entered or removed, model summary including
R and R square,
Anova statistics and coefficients. For an
example see Figure 4.
Figure 4
The finishes the stage on regression the following page dicussess the
use of multiply regression.
Are you sure you are ready for this.....