Good day.

Based on the results of performing a logistic regression of the data, a correlation matrix is displayed. When choosing any method of including variables in the model, correlation coefficients of different value are noted at each step (unlike Pearson's pairwise correlation coefficients). What are these coefficients in the matrix and how are they calculated? Please provide formulas for their calculation. As an example, in the picture, the correlation coefficients between the variables amplitude and sH are marked in yellow. They are different at every step.

The second question is how to take into account the multicollinearity of variables when performing logistic regression? Or is this procedure included by default in the logistic regression algorithm?

Good day.

Based on the results of performing a logistic regression of the data, a correlation matrix is displayed. When choosing any method of including variables in the model, correlation coefficients of different value are noted at each step (unlike Pearson's pairwise correlation coefficients). What are these coefficients in the matrix and how are they calculated? Please provide formulas for their calculation. As an example, in the picture, the correlation coefficients between the variables amplitude and sH are marked in yellow. They are different at every step.

The second question is how to take into account the multicollinearity of variables when performing logistic regression? Or is this procedure included by default in the logistic regression algorithm?

Thank you for reply.
But I did not understand what the coefficients in the Correlation matrix characterize? Are these partial correlation coefficients or what?

Good day.

Based on the results of performing a logistic regression of the data, a correlation matrix is displayed. When choosing any method of including variables in the model, correlation coefficients of different value are noted at each step (unlike Pearson's pairwise correlation coefficients). What are these coefficients in the matrix and how are they calculated? Please provide formulas for their calculation. As an example, in the picture, the correlation coefficients between the variables amplitude and sH are marked in yellow. They are different at every step.

The second question is how to take into account the multicollinearity of variables when performing logistic regression? Or is this procedure included by default in the logistic regression algorithm?

Thank you for reply.
But I did not understand what the coefficients in the Correlation matrix characterize? Are these partial correlation coefficients or what?

Good day.

Based on the results of performing a logistic regression of the data, a correlation matrix is displayed. When choosing any method of including variables in the model, correlation coefficients of different value are noted at each step (unlike Pearson's pairwise correlation coefficients). What are these coefficients in the matrix and how are they calculated? Please provide formulas for their calculation. As an example, in the picture, the correlation coefficients between the variables amplitude and sH are marked in yellow. They are different at every step.

The second question is how to take into account the multicollinearity of variables when performing logistic regression? Or is this procedure included by default in the logistic regression algorithm?

Please explain the correlation coefficients of estimates of which parameters for variables are given and their formulas. I want to understand how each digit in the correlation matrix is calculated.

Thank you for reply.
But I did not understand what the coefficients in the Correlation matrix characterize? Are these partial correlation coefficients or what?

Good day.

Based on the results of performing a logistic regression of the data, a correlation matrix is displayed. When choosing any method of including variables in the model, correlation coefficients of different value are noted at each step (unlike Pearson's pairwise correlation coefficients). What are these coefficients in the matrix and how are they calculated? Please provide formulas for their calculation. As an example, in the picture, the correlation coefficients between the variables amplitude and sH are marked in yellow. They are different at every step.

The second question is how to take into account the multicollinearity of variables when performing logistic regression? Or is this procedure included by default in the logistic regression algorithm?

Please explain the correlation coefficients of estimates of which parameters for variables are given and their formulas. I want to understand how each digit in the correlation matrix is calculated.

Thank you for reply.
But I did not understand what the coefficients in the Correlation matrix characterize? Are these partial correlation coefficients or what?

Good day.

Based on the results of performing a logistic regression of the data, a correlation matrix is displayed. When choosing any method of including variables in the model, correlation coefficients of different value are noted at each step (unlike Pearson's pairwise correlation coefficients). What are these coefficients in the matrix and how are they calculated? Please provide formulas for their calculation. As an example, in the picture, the correlation coefficients between the variables amplitude and sH are marked in yellow. They are different at every step.

The second question is how to take into account the multicollinearity of variables when performing logistic regression? Or is this procedure included by default in the logistic regression algorithm?