How to use Hannum's algorithm to predict age?

Hi

Some authors use either correlation matrices or VIF to identify collinearity between variables, while others apply both to improve model performance and interpretability. Therefore, I would be happy to get statistical explanations from anyone about the tools used separately and simultaneously or I want to know if other robust mechanisms to check collinearity are extant.

Thank you in advance!

Hi All!

Can you please tell me what is the reference style of MDPI journals for Mendeley Reference Manager? I found that Current Topics in Medicinal Chemistry works well for me but it doesn't include reference DOI.

Thanks in advance.

I conducted a survey involving a retailing store The sample size was 223 I was wondering how to intrepret the negative beta's within my SEM model ?

The hypotheses I was trying to test is which factors influence customer sastisfaction and how a customer would likely make a recommendation to another collegue or freind to visit the store location

My Beta value for employeefeedb or(employee feedback) is -0.05 and p-value of 0.22 Then there is my Beta value for LocaNear or (Location Near) which the survey question that we asked the custo

Hi everyone, I conducted a questionnaire with a total of 18 Likert scale questions (10 items for measuring attitude towards PBL & 8 items for Academic self-concept) to measure the difference in the attitude towards problem-based learning and academic self-concept based on study year, gender and nationality.

Should I use mean or median of dependant variables when running my tests in SPSS (normality, frequencies, etc) and Should I use the parametric or non-parametric tests if I have a relatively large sample size (139 responses)?

I just need to know what the cause is and how to interpret it

More detail:

Dependent Variable: Categorical variable such (1, 2, 3, 4)

No. of Independent variable: 04 (all are Dichotomous)

No. of cross-section (unit): 110

Would you suggest any special types of regression for econometric analysis of cross-section data?

Hello my friends - I have a set of independent variables and the Likert scale was used on them and I have one dependent variable and the Likert scale was used as well. I made the analysis and I want to be sure that I'm doing this right - how I can use control variables such as age, gender, work experience and education level as control variables to measure their effect on the relationship between the independent variables and the dependent variable? Please give me one example. Thanks

Hello

Dear researchers,

Which neural network ( ResNet or UNet) do you suggest if the input data of the model is the image-based data and the purpose of the model is classification? Why?

If the goal is segmentation with image-based data, then which deep neural network(Resnet or U net) do you suggest for the predictive model? Why?

My focus is just two deep neural networks such as ResNet or UNet

Thank you for your guidance

I am waiting for your guidance