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Regression and Multiple Regression

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Use Minitab 15's regression analysis to detect and define relationships
Regression analysis allows you to investigate and model the relationship between a response variable and one or more predictors. Minitab offers a broad range of regression commands including least squares, partial least squares, and logistic regression procedures. Visit http://minitab.com/products/minitab/

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  • Online Statistics Textbooks (@)

    Correlation and Regression Calculator
    You can either type/paste two sets of numbers or upload a file and the calculator returns the means, variances, regression coefficients, covariance, correlation coefficient, plus a scatterplot with the two regression lines. From UCLA Stats Department.

    Multiple Regression
    Overview including the general purpose of a multiple regression, computational approach, assumptions, limitations and a practical approach. From Statsoft.

    Multiple Regression Modeling
    Modeling and interpreting interactions in multiple regression. From Donald F. Burrill and Minitab.

    Online Regression Tools
    Online tools to work out regressions: linear, logarithmic, exponential, power, polynomial, multiple lineal, multiple polynomial, nonlinear... From Xuru.

    Paired Data, Correlation and Regression
    This overview includes the regression equation, a regression line, simple linear regression, multiple regression, non-linear regression, stepwise regression and residuals. From Lancaster University.

    Regression Fitted Line Plot
    Excel spreadsheet that allows the user to plot and fit a regression line. User can also determine the R-squared value. From Shawn Taylor.

    The Idea of a Regression Equation
    Multiple regression has two functions: to summarize some data, and to examine it for (statistically) significant trends. The first of these is part of descriptive statistics, the second of inferential statistics. This paper discusses the prior in more depth. From University of Exeter.

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