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Linear Statistical Models · End Term · Jan 2023 · AN

Linear Statistical Models · End Term · Jan 2023 AN

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Question 263 MCQ · 0.0 marks

Cheat Sheet: 1. Model: Yi = Bot Bray + i, with ¢; being iid Normal(0, 0”). 2. Estimators: Ss a x hela a v) = ccna sa Po=9- fit We had shown that By = n E(B) = ;, RSS = Residual Sum of Squares := Yi a by = Bix? and il E[RSS] = (n— 2)0?. 3. Distribution: * oe RSS Bi ~ Normal(1, 3) EY Naa RSS and A are independent and thus bi - B1 ~ tha. /_RSS (n-2)Sz, 4. Hypothesis Testing: (a) t-test i. Decide on level of significance: a ii. Null Hypothesis: 8, = 0 iii. Alternate Hypothesis: 3; 4 0 BiB a CE iv. Test Statistic: T := v. Compute p-value: P(| tna |2| T |) vi. Reject Null Hypothessis: if p-value is less than a (b) F-test Yi -9P = Yu —Hyr+ Yi -y i=1 i=l i=l (SStotal = RSS + SSpog) i. RSS and SSReg are independent. ii. Decide on level of significance: a iii. Null Hypothesis: 3; = 0 iv. Alternate Hypothesis: 3, 4 0 Sp. n—2 v. Test Statistic: F := vi. Compute p-value: P(F(1,n — 2) > F) vii. Reject Null Hypothesis: if p-value is less than a
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Question 264 MCQ · 9.0 marks

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Question 265 MCQ · 20.0 marks

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Question 266 MCQ · 26.0 marks

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Not applicable       **Sw Engg** **Section Id :** 64065338440 **Section Number :** 13 **Section type :** Online **Mandatory or Optional :** Mandatory **Number of Questions :** 27 **Number of Questions to be attempted :** 27 **Section Marks :** 100 **Display Number Panel :** Yes **Group All Questions :** No **Enable Mark as Answered Mark for Review and** Yes **Clear Response :** **Maximum Instruction Time :** 0

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