Simple linear regression is an important tool for understanding relationships between quantitative data, but it has its limitations. One obvious deficiency is the constraint of having only one independent variable, limiting models to one factor, such as the effect of the systematic risk of a stock on its expected returns. Real relationships are often much more […]
In part one of my series about health economics I gave an overview of the drivers of demand in the medical care market. In this post, I will go beyond a general interpretation of demand and give you an in-depth overview of a specific and expensive issue: the rising cost of public liability insurance. Public […]
Statistical inference helps us understand the data, and hypothesis testing helps us understand if the data is different from another set of data. These techniques are important when exploring data sets, as they help guide our analysis. However, these techniques are not enough. Most times, we are looking to understand the relationship between two sets of […]