Outcome variable: LikeM Model : lm(formula = LikeM ~ FunM, data = SpeedDating) S

Question

Outcome variable: LikeM Model : lm(formula = LikeM ~ FunM, data = SpeedDating) SS df MS F PRE Model Cerror reduced) 341.04 1 341.0415 180.050.3946.0000 Error (from model) 507.62 268 1.8941 Total Cempty model) 864.38 273 3.166 Using Im(), we fit a model using FunM to predict LikeM. The ANOVA table for the model is above. The parameter estimates are represented in the equation LikeMi -2.36 +.63FunM ei Based on all of this, can we be confident that the real 1 in the DGP is.63? No, we are confident that B1 is not 0 but we don't know what it actually is Yes, we are confident of this because the PRE is fairly high Yes, we are confident of this because the p value is very small Yes, we are confident of this because the F is very high

Explanation / Answer

a) We take a look at F value first and then p-value. As F-value is very high in this case, we will directly reach to a conclusion that real B1 is 0.63.

Answer: D) We are very confident of this as F-value is very high

b) As resample function is used, it will produce sampling distributions. As LikeM~AttractiveM is there in the argument, sampling distributions of bootstrapped slopes is being produced. Answer is C)

c) Shuffle function is used to see distribution. Hence, correct order should be shuffle (PRE) which is only there in option A. Answer is A)

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