The researcher performed a test for heteroskedasticity on residuals of equation The table below shows the results _ Vhite Null hysx.tres: SS Tut Equ tim: 101zg64 2128132 Fid, 1739) Chi-Sre(d) Chi-Sre(d) visble: RESIY2 CEte: Tin-e 17:37 1 aeoo IF YEAR=2C01 1746 SEOS'2 STORIES'2 VACANTA2 S E of reg Lcg Prob (Ftstistic) -c.coscso c.cooeoa c.c00947 -c.c02247 c.c02245 -c.c02755 g.2@E-oa 0.058245 1130513 std. 0132677 coco 710 coco 555 0101504 0102046 ac0450s 1.18E-cz c -c.o.s331 0.707037 1.7ct424 -2.15g53s 107307 -0.611705 7.864873 Akike info Scr-z stet Pro b. cg257 04255 coo 1 coug 02727 05408 cocoo DD82g41 -2172020 -2185830 Q 16. Vvhat can you infer from the 'Allite test results? [2] Q 17. Looking at the test equation results, which variables have predictive power cr.'er the squared of the residuals at the significance level? [2]