*3.5. Univariate Linear F-Regression Results*

Once again, feature selection by F-regression in the generated dataset employed the energy consumption, such as the outcome variable in the features array (Section 2.7). Figure 7 displays the *Fscore* value for hypothesis *H*<sup>0</sup> for each variable in the features array, and Table 6 shows the *Fscore* and *pvalue* calculated by *H*<sup>0</sup> for all input parameters.

**Figure 7.** *Fscore* comparison and the energy consumption dataset features.


**Table 6.** *Fscore* and *pvalue* feature selection with F-regression.

The calculated *pvalue* is indicated in Table 6. The Pearson correlations for intensity, R, G, B, W, and frequency showed reliable results since *pvalue* ≤ 0.05, but the duty cycle correlation was unreliable because *pvalue* > 0.05; that is, the duty cycle was the first eliminated.
