13 мар. 2022 г. · You will be less likely to be able to collect similar data and get the same results. In other words, the model is a poor fit. |
23 февр. 2023 г. · Sometimes, assumptions violations do not change the inference on what you actually care about. If you do need to make changes, you have to take ... |
18 мар. 2024 г. · If linearity is violated then log transformation may be able to help, if there's autocorrelation then first difference and AR models could help. |
1 янв. 2023 г. · It seems like 3/5 assumptions are violated. Can I still use the results of my linear regression or will I need to find a non-linear regression ... |
15 нояб. 2016 г. · Generally it just means your confidence intervals will be either too wide or too narrow, depending on what assumption is being violated. |
5 июл. 2024 г. · There are a number of outliers in my dataset, which means my data violates the assumption of normal distribution for the hierarchical multiple regression. |
29 мая 2024 г. · Assumption checks revealed violations in normality and homoscedasticity, indicated by the residual plots and significant results from the ... |
8 окт. 2021 г. · The data violate the normality assumption (Shapiro-Wilk test) and the equal variances (Levene). This is the case for nearly all the DVs I look at. |
20 мая 2024 г. · I believe If they are violated then you cannot use linear regression, and you have to use another method to investigate the relationship ... |
5 нояб. 2023 г. · Afaik if you violate assumptions in linear OLS it essentially becomes a correlation coefficient, nothing more. Although in some cases it can ... |
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