Select one or more. This is a thesis question related to empirical part and spss

Regression Statistics Multiple R 0.97530483 R Square 0.951219512 Adjusted R$ 0.853658537 Standard Err 0.191273014 Observation 6 ANOVA SS MS FSignificance F 9 Regression 0.713414634 0.356707 9.75 0/220863052 0 Residual 0.036585366 0.036585 1 Total 0.75 2 13 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.098 Upper 95.0 4 Intercept 3.146341463 0.790522384 3.980079 0.156708 -6,898197794 13.19088072 -6.89819779 13.19% 5 House -0.646341463 0.362905921 -1.78102 0.325702 -5.257498391 3.964815464 -5.25749839 3.964815 6 Sq ft 0.024390244 0.009089707 2.683282 0.227104 -0.091105437 0.139885925 -0.09110544 0:12988 from the table above, we may conclude that select one or more: a. The level of R2 shows a problem of multicolinearity b. The model is globally significant c. The sample is not representative enough. d. None of the predictors is statistatically significant