Statistical Inference and Hypothesis Testing Statistics 101 by Karl - December 9, 2018December 31, 20180 Whenever we observe data, we are usually observing one or a few samples from a much larger population. For example, if we are looking at daily stock market returns for AAPL for last year, we are looking at only a small portion of the overall daily returns. More often than
Multivariate Regression and Interpreting Regression Results Statistics 101 by Karl - December 3, 2018December 31, 20180 Simple linear regression (univariate regression) is an important tool for understanding relationships between quantitative data, but it has its limitations. One obvious deficiency is the constraint of one independent variable, limiting models to one factor, such as the effect of the systematic risk of a stock on its expected returns.
Correlation, Covariance and Linear Regression Statistics 101 by Karl - October 23, 2018December 31, 20180 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 us guide our analysis. However, these techniques are not enough. Most times, we are looking to