Table 7 Comparison of y-intercepts and \(\beta\)s for the regression of purchases4D \(\sim\) intention4D for several values of \(n_c\). The p-value of the results of an Anova test comparing the different \(\beta\) for \(n_c=50, 200\) and 300 against that of \(n_c=100\) are shown. The hypothesis of different values of \(\beta\) can be rejected with 95% confidence
From: The diffusion of goods with multiple characteristics and price premiums: an agent-based model
\(n_c=50\) | \(n_c=100\) | \(n_c=200\) | \(n_c=300\) | |
|---|---|---|---|---|
y-intercept | 16.6334 | 15.8966 | 16.6334 | 14.191 |
\(\beta\) | 0.8797 | 0.8887 | 0.8797 | 0.891 |
p-value | 0.0311 | – | <0.0001 | <0.0001 |