Monthly Archives: July 2019

Explain in layman’s terms

Linear regression: Derive a trend line to best fit the data that can minimize the sum of squares of prediction error. (distance of each data point to the fitted line is prediction error) P-value: Specifically, if the null hypothesis is correct, what is the probability of obtaining an effect at least as large as the […]

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