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  2. Home valuations on Zillow, Redfin, Chase are all over the map ...

    www.aol.com/finance/home-valuations-zillow...

    Commercial real estate has beaten the stock market for 25 years — but only the super rich could buy in. ... Meanwhile, Redfin pegs the estimated value at $942,976 during the same period.

  3. Outline of regression analysis - Wikipedia

    en.wikipedia.org/wiki/Outline_of_regression_analysis

    The following outline is provided as an overview of and topical guide to regression analysis: Regression analysis – use of statistical techniques for learning about the relationship between one or more dependent variables (Y) and one or more independent variables (X).

  4. Record number of US homes are worth $1 million or more ... - AOL

    www.aol.com/news/record-number-us-homes-worth...

    Seattle, Wash. also saw a 4.2% increase in its share of $1 million homes, according to Redfin's analysis. Redfin says you could choose to look at places like Cleveland, Ohio; Detroit, Michigan ...

  5. Leverage (statistics) - Wikipedia

    en.wikipedia.org/wiki/Leverage_(statistics)

    In statistics and in particular in regression analysis, leverage is a measure of how far away the independent variable values of an observation are from those of the other observations. High-leverage points , if any, are outliers with respect to the independent variables .

  6. Estimation statistics - Wikipedia

    en.wikipedia.org/wiki/Estimation_statistics

    Similarly, for a regression analysis, an analyst would report the coefficient of determination (R 2) and the model equation instead of the model's p-value. However, proponents of estimation statistics warn against reporting only a few numbers. Rather, it is advised to analyze and present data using data visualization.

  7. With homebuying ‘more expensive than ever,’ buyers are ...

    www.aol.com/finance/homebuying-more-expensive...

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  8. Least squares - Wikipedia

    en.wikipedia.org/wiki/Least_squares

    The result of fitting a set of data points with a quadratic function Conic fitting a set of points using least-squares approximation. In regression analysis, least squares is a parameter estimation method based on minimizing the sum of the squares of the residuals (a residual being the difference between an observed value and the fitted value provided by a model) made in the results of each ...

  9. Analysts Estimate Redfin (RDFN) to Report a Decline in ... - AOL

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