Standardized residual plot spss problem
I'm trying to figure out whether the variance of the residuals is constant and I'd like to do so using a standardized residuals plotted against predicted values plot.
Simplying the problem: There are two factors (gender and right/left handed) and the result (grade)
However, when I try to apply both factors when trying to create standardized residuals spss does not save these. Aside from that, I haven't been able to find any youtube clips showing how to do this, making me think that perhaps this is not possible at all. However, my book show that it should be possible.
I then tried to make the two factors into one factor, for example instead of dividing them into groups of female (1), male (0), right (1), left (0) I did the following
Female + right = 1
Female + left = 2
Male + right = 3
I then get an error message that says: for models with dependent variable grade, the following variables are constants or have missing correlations in split file gender=1, hand=1.
I also get the another error message: for models with depdent variable grade, fewer than 2 variables remain in split file gender=1, hand=1. Statistics cannot be computed.
Male + left = 4
statistics
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I'm trying to figure out whether the variance of the residuals is constant and I'd like to do so using a standardized residuals plotted against predicted values plot.
Simplying the problem: There are two factors (gender and right/left handed) and the result (grade)
However, when I try to apply both factors when trying to create standardized residuals spss does not save these. Aside from that, I haven't been able to find any youtube clips showing how to do this, making me think that perhaps this is not possible at all. However, my book show that it should be possible.
I then tried to make the two factors into one factor, for example instead of dividing them into groups of female (1), male (0), right (1), left (0) I did the following
Female + right = 1
Female + left = 2
Male + right = 3
I then get an error message that says: for models with dependent variable grade, the following variables are constants or have missing correlations in split file gender=1, hand=1.
I also get the another error message: for models with depdent variable grade, fewer than 2 variables remain in split file gender=1, hand=1. Statistics cannot be computed.
Male + left = 4
statistics
add a comment |
I'm trying to figure out whether the variance of the residuals is constant and I'd like to do so using a standardized residuals plotted against predicted values plot.
Simplying the problem: There are two factors (gender and right/left handed) and the result (grade)
However, when I try to apply both factors when trying to create standardized residuals spss does not save these. Aside from that, I haven't been able to find any youtube clips showing how to do this, making me think that perhaps this is not possible at all. However, my book show that it should be possible.
I then tried to make the two factors into one factor, for example instead of dividing them into groups of female (1), male (0), right (1), left (0) I did the following
Female + right = 1
Female + left = 2
Male + right = 3
I then get an error message that says: for models with dependent variable grade, the following variables are constants or have missing correlations in split file gender=1, hand=1.
I also get the another error message: for models with depdent variable grade, fewer than 2 variables remain in split file gender=1, hand=1. Statistics cannot be computed.
Male + left = 4
statistics
I'm trying to figure out whether the variance of the residuals is constant and I'd like to do so using a standardized residuals plotted against predicted values plot.
Simplying the problem: There are two factors (gender and right/left handed) and the result (grade)
However, when I try to apply both factors when trying to create standardized residuals spss does not save these. Aside from that, I haven't been able to find any youtube clips showing how to do this, making me think that perhaps this is not possible at all. However, my book show that it should be possible.
I then tried to make the two factors into one factor, for example instead of dividing them into groups of female (1), male (0), right (1), left (0) I did the following
Female + right = 1
Female + left = 2
Male + right = 3
I then get an error message that says: for models with dependent variable grade, the following variables are constants or have missing correlations in split file gender=1, hand=1.
I also get the another error message: for models with depdent variable grade, fewer than 2 variables remain in split file gender=1, hand=1. Statistics cannot be computed.
Male + left = 4
statistics
statistics
asked Jan 4 at 11:36
OrbitOrbit
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