Introduction to Statistics: Conditions for Linear Regression

Determine when to use linear regression models. Compare requirements for using least-squares regression and Student t distributions. Transform data with logarithms and square roots. Learn how outliers can affect the slope or intercept of lines of best fit.

In the full course, learn about collecting, describing, analyzing, visualizing and interpreting data. Practical examples show sample statistics and population parameters, confidence intervals, hypothesis testing and normal distributions.

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