About 433,000 results
Open links in new tab
  1. ANOVA vs multiple linear regression? Why is ANOVA so …

    ANOVA vs multiple linear regression? I understand that both of these methods seem to use the same statistical model. However under what circumstances should I use which method? What …

  2. Regression with multiple dependent variables? - Cross Validated

    Nov 14, 2010 · Is it possible to have a (multiple) regression equation with two or more dependent variables? Sure, you could run two separate regression equations, one for each DV, but that …

  3. Why are the Degrees of Freedom for multiple regression n - k - 1?

    May 2, 2017 · Why are the Degrees of Freedom for multiple regression n - k - 1? For linear regression, why is it n - 2? [duplicate] Ask Question Asked 8 years, 6 months ago Modified 4 …

  4. multiple regression - What to do if residuals are not normally ...

    Jul 29, 2015 · It is a multiple regression indeed, thanks for adjusting. @ Dsaxton, could you clarify "residuals are never normally distributed"? Because I believe this is a assumption that has to …

  5. How to describe or visualize a multiple linear regression model

    Then this simplified version can be visually shown as a simple regression as this: I'm confused on this in spite of going through appropriate material on this topic. Can someone please explain to …

  6. Rules of thumb for minimum sample size for multiple regression

    Would you suggest an alternative rule of thumb for minimum sample size for multiple regression? Alternatively, what alternative strategies would you suggest for determining minimum sample …

  7. Minimum number of observations for multiple linear regression

    Jun 1, 2012 · 13 I am doing multiple linear regression. I have 21 observations and 5 variables. My aim is just finding the relation between variables Is my data set enough to do multiple …

  8. When conducting multiple regression, when should you center …

    Jun 5, 2012 · In some literature, I have read that a regression with multiple explanatory variables, if in different units, needed to be standardized. (Standardizing consists in subtracting the mean …

  9. Standard errors for multiple regression coefficients?

    May 7, 2012 · I realize that this is a very basic question, but I can't find an answer anywhere. I'm computing regression coefficients using either the normal equations or QR decomposition. …

  10. understanding of p-value in multiple linear regression

    Regarding the p-value of multiple linear regression analysis, the introduction from Minitab's website is shown below. The p-value for each term tests the null hypothesis that the coefficient …