Estimate the effect of Gestation period, father's age, mother's number of cigarettes smoked per day, and mother's height on Birthweight.

1. Which explanatory variable is the most important as far as the ability of its variability to influence variability of the dependent variable is concerned? (5 marks)
2. What does the 95% confidence interval of father's age imply about the significance of this variable? Explain (5 marks)
3. Explain the output from your Analysis of Variance (5 marks)
4. Test the statistical significance of all your estimated coefficients (5 marks)
5. Males are known to produce viable gametes even in their sunset years. What does the results imply about the father's age and its influence on birthweight? (5 marks)

Question Two

Rerun the analysis in Question One with smoker as an additional regressor. In doing so, you will have violated one of the assumptions of regression analysis and your estimates will no longer be Best Linear and Unbiased. Explain in detail what this is all about. (10 marks)

Question Three

From the course content, there is that one thing that you have spent time mastering and you haven't had an opportunity to talk about it yet in all your assessments for Econometrics I. What is it and how does it work? Explain it in detail (5 marks)

                                                                                                                                                                                                                                                                                                                                                                                                           

BIRTHweight (kgs)	Mage	Gestation	Smoker	mheight	mppwt	Fage	mnocig
4.55	20	44	Non-smoker	162	57	23	0
4.32	19	40	Non-smoker	171	62	19	0
4.10	35	41	Non-smoker	172	58	31	0
4.07	20	44	Non-smoker	174	68	26	0
3.94	24	42	Non-smoker	175	66	30	0
3.93	29	38	Non-smoker	165	61	31	0
3.77	24	40	Non-smoker	157	50	31	0
3.65	21	42	Non-smoker	165	61	21	0
3.63	18	38	Non-smoker	172	50	20	0
3.42	20	38	Non-smoker	157	48	22	0
3.35	27	41	Non-smoker	164	62	37	0
3.27	24	40	Non-smoker	168	53	29	0
3.23	31	38	Non-smoker	164	57	35	0
3.20	21	41	Non-smoker	155	55	25	0
3.15	29	40	Non-smoker	167	60	30	0
3.11	28	37	Non-smoker	158	54	39	0
3.03	27	39	Non-smoker	162	62	27	0
2.92	26	34	Non-smoker	167	64	25	0
2.90	19	39	Non-smoker	165	57	23	0
2.65	24	33	Non-smoker	149	45	26	0
3.64	20	40	Smoker	170	59	24	2
3.14	22	41	Smoker	160	53	24	7
2.78	19	37	Smoker	165	60	20	7
2.51	22	39	Smoker	159	52	23	7
2.37	20	37	Smoker	163	47	20	7
2.05	41	35	Smoker	166	57	37	7
1.92	20	33	Smoker	161	50	20	7
4.57	32	41	Smoker	173	70	38	12
3.59	31	40	Smoker	163	49	41	12
3.32	27	40	Smoker	152	48	37	12
3.00	30	38	Smoker	165	64	38	12
3.32	23	39	Smoker	157	48	32	17
2.74	21	39	Smoker	156	53	24	17
3.87	28	45	Smoker	163	54	30	25
3.86	30	39	Smoker	170	78	40	25
3.55	37	41	Smoker	161	66	46	25
3.53	26	40	Smoker	170	62	30	25
3.41	23	39	Smoker	181	69	23	25
3.18	31	38	Smoker	162	57	32	25
3.19	27	41	Smoker	163	51	31	35
2.66	20	35	Smoker	170	57	23	35
2.75	37	40	Smoker	168	61	31	50

 

Answer rating: 100% (QA)

To analyze the effect of different variables on birthweight a regression analysis can be performed using the given data The variables to be considered are gestation period fathers age mothers number o... View the full answer