*4.3. Model Evaluation*

In this section, the evaluation of the regression model is discussed. There are five models developed from five stimuli (see Figure 1). Table 2 represents the model summary and statistical significance of all five models. The R square value of the models in Table 2 varies between 0.461 and 0.550. This implied that the models explained a minimum of 46% (Joint 1) and a maximum of 55% (Joint 2) of the variance in overall aesthetic preference. This is quite a respectable result. The statistical significance of the result was also assessed in Table 2. The F-ratio in the ANOVA tests whether the overall regression model is a good fit for the data. The table shows that the independent variables statistically significantly predict the dependent variable, F (4, 109) *p* = (0.001) < 0.05 (i.e., the regression model is a good fit for the data).

**Table 2.** Summary (b) of the model predicting overall aesthetic preference and statistical significance of the models.


<sup>a</sup> Predictors: the joint appears appropriate for the overall structure, the joint looks difficult to manufacture, the joint appears to be long lasting, the joint appears innovative, the joint appears strong, the joint appears functional. <sup>b</sup> Dependent variable: overall aesthetic preference.
