Comparing Grocery and Cost-of-Living Indices in 7 U.S. Cities

Abstract

Due Date Introduction The primary objective of this analysis is to identify how the cost of groceries affects the overall cost of living in these cities. By examining these indices, insights can be gained into the affordability and cost disparities among these urban areas (Numbeo, 2020). This paper will analyze the Cost-of-Living Index and Groceries Index for seven U.S. cities, aiming to understand the relationship between these indices Data Collection The data for this analysis was collected from the "Northern America: Current Cost of Living Index by City" webpage, as shown below. https://www.numbeo.com/cost-of-living/region_rankings_current.jsp?region=021 Data Table The table below presents the data for seven selected cities, including their Groceries Index (independent variable) and Cost of Living Index (dependent variable): Scatterplot Analysis The scatterplot and equation of the trend line play a crucial role in our analysis, shedding light on the complex cost dynamics within the selected cities. The scatterplot's main objective is visually illustrate the relationship between the Cost of Living Index and the Groceries Index. There is a small amount of positive correlation in this context(Numbeo, 2020). A small association exists between increases in the Cost of Living Index and the Groceries Index. A positive correlation is supported by the trend line's equation, which has a positive slope of 0.0812. This means that a minor increase in the Groceries Index may be anticipated for every unit increase in the Cost of Living Index. Hence, it is essential to remember that the relationship could be more robust. The low R-squared value of 0.0309, which shows that variations in the Groceries Index account for just around 3.09% of the entire variance in the Cost of Living Index, provides more evidence for this. Identifying the Best and Worst Cities In analyzing the relationship between the Groceries Index and the Cost of...