The correlation matrix was used in this analysis to help illuminate where potential multicolinearity
between variables may be present.
In addition, predictor variables were evaluated for multicolinearity
, using pairwise scatterplots, variance inflation factors, and condition indexes.
From this table, we can observe low correlations among the independent variables, indicating that multicolinearity
is not a problem.
This test has been done to review the Multicolinearity
between the independent variables with the following statistical hypothesis:
The book addresses these questions by exploring the descriptive statics, the correlations analysis, the multicolinearity
analysis and the regression analysis.
Finally, analysis for multicolinearity
suggests that this is not likely to be an undue influence on the results.
80, the usual threshold for multicolinearity
The IBM variables are independent from one another, thus limiting concerns of multicolinearity
Thus, the three HBM variables are independent from one another, limiting concerns of multicolinearity
Preliminary analysis ensured that there were no violations of sample size, multicolinearity
homoskedasticity, normality, linearity, exogenity and no multicolinearity
A correlation test was carried out between the independent variables to remove multicolinearity