Question

Find an example of a regression or best fitting line from a popular press news source(e.g., The Economist, Wall Street Journal, NY Times, etc.). Explain the two variables(X, the independent variable, andY, the dependent variable) that are being measured.What is the relationship the author/researcher is trying to explain with the best fittingline? Do you think there are any other variables that might explain more of the variationinY? Make sure to cite the article you select.

Answer 1

Another technique involves regression analysis, which estimates the strength of the relationship between a particular measure, such as school closure, and a metric, such as R, across all countries. Using a regression technique such as Lasso, for example, researchers can determine which measures reduce R most.

But all methods have limitations, says Haug. The Lasso method assumes that a given measure always leads to the same reduction in R over time, regardless of the country to which it was applied. This is one of the biggest challenges in learning lessons across multiple countries. Researchers want to be able to account for national quirks such as some countries’ greater prevalence of intergenerational households, which could accelerate spread. The Vienna team will eventually try to factor these different features directly into their models. For now, they will capture them all as a single variable that alters R for each country.

Without a vaccine or effective treatment, stopping transmission remains the only defense against COVID-19. Knowing the effects of each control measure is crucial to figuring out which ones can be safely altered or removed, says Petherick. “If we can learn what we should put in place and what works best so that we can stop the spread and also keep the rest of life going as best we can, I think that would be a huge contribution,” she says.

Dependent Variable - R

Independent variable - School Closure

Cited Article - https://www.nature.com/articles/d41586-020-01248-1

Yes, there are many variables which that might explain more of the variation in y, the dependent variable. Such as complete lockdown, Number of hospitals, etc.