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    Uncertainty about normality (Q-Q Plot)

    Okay thank you so much! :):)
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    Uncertainty about normality (Q-Q Plot)

    Sounds like usual issues handling with likert scale in the context of linear regression. So it would not be a good idea to evaluate my hypotheses based on that? Currently my hypotheses are evaluated based on R-square, F-value + p-value, beta coefficient, t-value + p-value.
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    Uncertainty about normality (Q-Q Plot)

    Yes, both are likert scale. I know that this is controversial, but it is explicitly desired to carry out a linear regression. In my case likert scale should be treated like an interval-scaled variable.
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    Uncertainty about normality (Q-Q Plot)

    Thank you for your answers. I don't know if it has any relevance, but I haven't mentioned it yet: In the linear regression the mean values of Likert scales are used. For example: Here are my results of heterogeneity and linearity test: But what is that supposed to tell me in relation to my...
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    Uncertainty about normality (Q-Q Plot)

    Okay. Should I check any other assumptions as part of the hypothesis testing? Sorry, I don't have that much experience in statistics.
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    Uncertainty about normality (Q-Q Plot)

    So is it better to skip residual analysis? :rolleyes:
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    Uncertainty about normality (Q-Q Plot)

    Thank you for answer. That's right, my sample size is n=414. But I thought that a normal distribution of the residuals was a requirement for linear regression. It is in the context of my hypothesis testing.
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    Uncertainty about normality (Q-Q Plot)

    Hey everyone, I've done several linear regression. Now I would like to test if my residuals are normally distributed. That is how my Q-Q Plots look like: But I'm not sure what to make of the Q-Q Plots. Most of them are pretty much on the line, except for the beginning and ending. What do you think?