Instructions: Use SPSS, content preserve and succumb the output perfect (*.spv). Follow the naming conv ention as the term perfect. Submissions externally code/ output perfects will not be graded. Data style and mutable names: See documentation.pdf

Before attempting the questions, run vivid statistics. You must feel 3000 observations and 12 mutables. 


1) A researcher is ardent in the result of dame’s smoking during pregnancy on birthweight. Run a retrogradation. What is the estimated increase on smoker? [1]

2-a) To the example in Q1, add the dame characteristics mutables – age, educ and uncombined – and run the retrogradation repeatedly. [1]

2-b) What happens to the estimated increase on smoker now? Does it diversify? Is tshort an omitted mutable predisposition? [1]

3-a) To the example in Q2, add the aftercited mutables: alcohol, tripre0, tripre2 and tripre3. [1]

3-b) What happens to the R2 and adjusted R2? Compare from Q1 and Q2. [1]

3-c) Interpret the coefficient on age. [1]

4) Run the example in Q3, externally the neutralize (or immutable) and add all tripre1 as polite.
[Hint: In R, add “+0” to the lm formula. In SPSS, go the libertys colloquy box in direct retrogradation and reverse off the immutable liberty.] [1] 

5) All questions short point to the example in Q1:

5-a) In the retrogradation estimated in Q1, is the increase coefficient on smoker significantly irrelative from 0? Trial a fancy at a 5% equalize of feeling. [1]

5-b) The mutable smoker is a dummy mutable. Write out the vain and vacillate fancy in terms. [1]

5-c) Use the trust cessation advent to trial the fancy in 5-a. Use a 95% trust equalize. 

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