Estimate the effect of Gestation period, father's age, mother's number of cigarettes smoked per day, and mother's height on Birthweight. Which explanatory variable is the
Estimate the effect of Gestation period, father's age, mother's number of cigarettes smoked per day, and mother's height on Birthweight.
- 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)
- What does the 95% confidence interval of father's age imply about the significance of this variable? Explain (5 marks)
- Explain the output from your Analysis of Variance (5 marks)
- Test the statistical significance of all your estimated coefficients (5 marks)
- 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 | |
Step by Step Solution
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There are 3 Steps involved in it
Step: 1
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...See step-by-step solutions with expert insights and AI powered tools for academic success
Step: 2
Step: 3
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