salary of teachers, in thousand pesos), X1 (Years, years of teaching), X2 (Papers, no. of paper publications), X3 (Sex, M=1, F=0) and X4 (Grants, no. of research projects with funding grants). A sample of 35 randomly selected teachers was used to fit the multiple regression model. Parts of the data processing output is shown below: Predictor Coef SE Coef Constant 17.846931 2.001876 8.915 0.0001 Years 1.103130 0.359573 3.068 0.0032 Papers 0.321520 0.037109 0.0002 Sex 1.593400 0.687724 2.317 0.0083 Grants 1.288941 0.298479 4.318 0.0003 s= 1.75276 R-sq = 92.3% adj R-sq = 91.4% What can you expect on the p-value of the ANOVA F-test? O Very large, since it is clear that none of the variables are good predictors of salary O Very small, since it is clear that none of the variables are good predictors of salary O Very large, since it is clear that all of the variables are good predictors of salary

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