Tag: covariance

• Linear Regression, Covariance and Correlation

  Linear regression is the relation between variables when the regression equation is linear: e.g., y = ax + b Linear regression – basic assumptions Variance is constant You are summarizing a linear trend You have all the right terms in the model There are no big outliers

  Nityananda

  November 26, 2013

  Statistics

  basic least squares, correlation, correlation coefficient, covariance, covariant, dummy variables, intercept, line of best fit, linear regression, regression, regression with factors, relevel, residual, residual analysis, slope, sum of squares, Variance