Posted: February 15th, 2023
Prior to beginning work on this discussion forum, read Chapter 11: Regression Analysis: Statistical Inference, paying attention to Section 11-7 on outliers and Figures 11.13, 11.14, and 11.15. Additionally, read Chapter 12: Time Series Analysis and Forecasting.
Prior to beginning work on this discussion forum, read Chapter 10: Regression Analysis: Estimating Relationships.
Consider the relationship between yearly wine consumption (liters of alcohol from drinking wine, per person) and yearly deaths from heart disease (deaths per 100,000 people) in 19 developed countries. Suppose that you read a newspaper article in which the reporter states the following:
Researchers find that correlation between yearly wine consumption and yearly deaths from heart disease is 0.84. Thus, it is reasonable to conclude that increased consumption of alcohol from wine causes fewer deaths from heart disease in industrialized societies.
In your initial post, evaluate and comment on the reporter’s interpretation of the correlation in this situation.
“Estimating relationships” refers to the process of identifying and measuring the association between two or more variables. This process is commonly used in statistical analysis and research to understand the nature and strength of relationships between variables, such as the relationship between a person’s income and their level of education.
There are several statistical methods that can be used to estimate relationships between variables, including correlation analysis, regression analysis, and structural equation modeling. These methods can help to identify the strength and direction of the relationship between two or more variables, as well as to estimate the magnitude of the effect of one variable on another.
In order to estimate relationships, it is important to have a clear understanding of the variables that are being studied and the type of relationship that is hypothesized. It is also important to carefully select appropriate statistical methods and techniques to ensure that the estimates are reliable and valid. Finally, it is important to interpret the results of the analysis carefully and to consider potential confounding factors or alternative explanations for the observed relationships.
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