Select ALL of the correlation coefficients that represent a linear model with a weak correlation.

A. 0.125

B. 1 ~~~

C. -0.787

D. 0.961 ~~~

E. -0.951 ~~~

F. -0.026

My answers are B, D, and E. Am I right?

Review the topic. You have it exactly backwards, :3

Yes, you are correct. B, D, and E are the correlation coefficients that represent a linear model with a weak correlation. A strong correlation is typically indicated by coefficients close to 1 or -1, while weak correlation coefficients are closer to 0.

To determine whether a correlation coefficient represents a weak correlation, you need to consider the magnitude or absolute value of the coefficient. A correlation coefficient ranges from -1 to 1, where -1 indicates a perfect negative correlation, 1 indicates a perfect positive correlation, and 0 indicates no correlation.

To identify a weak correlation, you should look for correlation coefficients that are closer to 0. In this case, the options are:

A. 0.125 (not selected)
B. 1 (not selected)
C. -0.787 (selected)
D. 0.961 (not selected)
E. -0.951 (selected)
F. -0.026 (not selected)

Based on the criteria described, you are correct that the selected coefficients with weak correlations are C (-0.787) and E (-0.951). The remaining coefficient B (1) represents a strong positive correlation, so it does not belong in the category of weak correlations.

oof I dont know but I found some info that might help... Linear models, or regression models, trace the the distribution of the dependent variable (Y) – or some characteristic of the distribution (the mean) – as a function of the independent variables (Xs). ... This shows the conditional distribution of improvement value.