First, our substantive interpretations were limited to concluding that one variable was weakly or strongly or positively or negatively related to another. We have not described the magnitude of the observed relationship in precise terms. Second, we have only investigated one or two variables at a time and never attempted to integrate the findings. In most cases, more than one variable appears to have an important effect on the behavior or attitude of interest. The statistical technique we use for assignment number 4, the simple linear model, solves both of these shortcomings.
Substantive interpretations are straightforward.
The objective of the model is to describe and estimate the relationship between two variables. We use the estimates of the model from sample data to make inferences about the population. Conventionally, Y denotes the dependent variable and X denotes the independent variable. We are principally interested in b 1 . Recall that the t-test that we used for assignment three.