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Two major analytical Writing statistics homework is the toughest task for students as it requires high-level of concentration. The indicator is the population and low access to the grocery stores. The data shows the how the location of a county either in urban or rural areas affects the accessibility of the grocery stores.

The percentage was determined by calculating the distances to the nearest supermarkets and large groceries for each grid and then aggregating the number of people who lived 1 mile from the store in urban areas and more than 10 miles in rural areas to the county level and then divided by the county population. This gave the percentage of the population located in more than 1 or 10 miles from the main stores.


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The income earned by the individuals the individuals affected the accessibility of the stores. The income level is defined by the annual income of the Federal poverty threshold based on the size of the family. The accessibility to the stores by children and also that of the seniors has an impact on the health of the community. The children who cannot access the stores suffer from nutrition deficiency. The aged do not have access to the store located far from their homes.

Children are considered to be individuals in a community who are age 18 years and below. The seniors are individuals aged 65 years and above. The households, with no car and low access are another indicator. Housing units located far from the groceries and have no car will have low access them. The first indicator is the grocery stores. These are supermarkets and smaller grocery stores that retail food products. The food includes fresh fruits, canned and frozen food, and fresh meat. The number of grocery stores per the population of the county are an indicator of how easily an individual can acquire the food Wahlqvist, If the population is high compared to the number of the groceries, the demand is not met.

The supercenters and the club stores are other indicators. They are involved in retailing the line groceries and merchandise.

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The population of the county per the number of these facilities will determine if the demand is met. Convenience stores retail goods that are limited such as snacks, milk and bread. Specialized stores retail foods as meat and seafood markets, bakeries and produce markets. The fast food restaurants deliver food and drinks to the consumer location. The services and food are paid for before consuming. In full service restaurants, the consumer pays after eating and is served while seated.

In the expenditure per capita indicator, the patron chooses to pay for the picked items before eating.

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The amount of money that one has determines what one gets. The reduced price of lunch meals to students is essential to make food affordable to all therefore a healthy society Frumkin, The rate of diabetes and obesity in adults in relation to the food accessibility is well indicated.


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  • The weight and the height is also an indicator of the rate of obesity to adults. The children are also considered to be obese if their body mass index is greater than kilograms pr meter squared. The origin of the population whether white or black indicates their lifestyles and hence the health of the county.

    The median household income divides the household of the county to income above and below the median to individuals aged 15 years and above. Poverty hinders one from accessing proper diet. It is important to follow a sequential procedure so as to get accurate results. The procedure for this project is as follows;. The relation of various variables in US are shown in the graphs below. The scatter plots show the relationship or correlation between these indicators. In a positive correlation, both variables move in the same direction while in a negative correlation, the variables move in the opposite directions.

    If the best line of fit is vertical, horizontal or it cannot be drawn due to lack of pattern in the data points, there is little or no correlation. There is no co-relationship between the obesity of the children with access to fast food restaurants. However the gradient of the graph indicates that the more the children access the fast food, the more they are prone to being obese.

    The r value is below small which shows that there is no between the obesity in the adults senior and their accessibility to food. The likelihood of high obesity rate can occur with high accessibility to food just as low rate of obesity can occur with high accessibility.

    The participation in food assistance programs has no effect on the socioeconomic characteristics of the county.