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	10.2 interpreting models of re-expressed data (Kate Stoltzfus) View
	10.2.4 Regression - Outliers and Influential Points (Sasha Townsend - Tulsa) View
	Correlation and Regression Analysis: Learn Everything With Examples (LEARN \u0026 APPLY : Lean and Six Sigma) View
	10.2 Regression (Karen Hogans) View
	10.2 Equation of line of best fit on Statcrunch.com (Charity McKenzie) View
	10.2.5 Regression - Residuals and the Least-Squares Property (Sasha Townsend - Tulsa) View
	Problem 10.2.6 - Given summary statistics, find the best predicted value of y at a given x value. (Sasha Townsend - Tulsa) View
	Correlation Coefficient (The Organic Chemistry Tutor) View
	Confidence Interval [Simply explained] (DATAtab) View
	Section 10.2 (2) Conditions for a Multiple Regression - Residuals vs Fits Plot (Chris Chappa) View