How do you interpret the coefficients of interaction terms in a regression model?
- The interaction coefficient indicates the effect of one variable at a specific level of the other variable
- The interaction coefficient indicates the joint effect of the variables, independent of their individual effects
- The interaction coefficient is a measure of the correlation between the variables
- The interaction coefficient represents the average effect of two variables
The interaction coefficient in a regression model indicates the effect of one independent variable on the dependent variable for a specific level of another independent variable. It signifies that the effect of one variable depends on the value of another variable, thus capturing the interaction effect between the two variables.
Loading...
Related Quiz
- Which type of plot is particularly useful for identifying outliers in a dataset?
- A negative Spearman's rank correlation coefficient indicates a(n) ________ association between two variables.
- The ________ is the most frequent value in a data set.
- The ________ is the average of a data set calculated by adding all values and then dividing by the number of values.
- In a histogram, what does the area under the curve represent?