# homework

## homework

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The wage earned by a person is influenced by many attributes. How much is income influenced by height? This paper is analysis of this question using basic statistical tools. For carrying out any analysis the first & foremost requirement is the sufficient sample data. Data can be gathered from the website maintained by the US Bureau of Labor Statistics (BLS) that provides data collected National Longitudinal Surveys of Youth (NLSY), one begun in 1997. NLSY97 collected a wide variety of data on employment, income, and personal characteristics from cohorts of people who were young at the time the surveys started 12 to 17 years old for NLSY97. The latest data sets available are for the years 2011 for NLSY97, when the respondents were mostly in their mid to late 20s. Almost 9,000 people were enrolled in NLSY97. They have been interviewed annually since enrollment. Born between 1980 and 1984. At the time of first interview, respondents' ages ranged from 12 to 18. The respondents were 26 to 32 at the time of their round 15 interviews in 2011.
This paper basically analyzes the relationship of Height & Wage earned by the person. For carrying out the analysis we have considered four sectors Manufacturing, Construction, Retail and Education & Health. For preparing the data set, very low income individual, irrelevant height or income data are rejected and kept out of consideration. I used the linear regression analysis for income vs. height separately for four sectors under consideration.

Figure 1 shows model result graphically. It is clear from the graphical illustration that dependency of income on height is not ubiquitous. It depends on the nature of job. As it is clear from the model analysis that Manufacturing & Construction sector which are jobs which really legitimately require & value physical size. So, definitely there is a height premium for these jobs are it is clearly depicted by the graph. In Manufacturing & construction average annual income predicted by...