Thank you for the video. I followed the steps on my data set. The correlation between the predicted and DV values was .837 (significant)for the 80% data and .468 (insignificant) for the 20% sample. As per your video I understand that this is a poor fitting model. However, how do we improve the model fit in addition to collecting more data? the sample size was 500.
Dear William; As you know, we can also carry out regression analysis for more than two class, which is multinomial logistic regression One of the outputs of this analysis is Classification table. Do Multinımial Logistic Regression split data into train and test for classification ? Best regards.
Thank you so much for this video, it has been so usefull for me and my phd. I want to make a cross validation model. I have doubts about the meaning of the analisys, I mean in the last correlation how I can give a meaning for the result. And another question: If I want to divide my sample into 10 random groups for example, and make a cross validation model, hoy can I do it?? Than you so much
thanks William, this is very helpful for my school work
Thank you for the video. I followed the steps on my data set. The correlation between the predicted and DV values was .837 (significant)for the 80% data and .468 (insignificant) for the 20% sample. As per your video I understand that this is a poor fitting model. However, how do we improve the model fit in addition to collecting more data? the sample size was 500.
Dear William;
As you know, we can also carry out regression analysis for more than two class, which is multinomial logistic regression
One of the outputs of this analysis is Classification table.
Do Multinımial Logistic Regression split data into train and test for classification ?
Best regards.
Thank you so much
Thank you so much for this video, it has been so usefull for me and my phd. I want to make a cross validation model. I have doubts about the meaning of the analisys, I mean in the last correlation how I can give a meaning for the result.
And another question: If I want to divide my sample into 10 random groups for example, and make a cross validation model, hoy can I do it??
Than you so much