Respuesta :
The best description, of the strength of the model with an r-value of –0. 93 is a strong negative correlation.
What is the correlation coefficient?
Correlation coefficient is used to calculate how strong the relationship is between the two variables.
When there is a statistical relationship between two or more variables, then they are said to be in correlation.
Types of correlation-
- Positive correlation coefficient- When the value of the correlation coefficient is positive, then the value of one variable increases with increase in the other variable.
- Negative correlation coefficient- When the value of the correlation coefficient is negative, then the value of one variable decreases with the increase in the other variable.
When, the r value of the correlation is near to the value of 1 or -1, then the correlation between the variables called strong correlation otherwise week. Here the r-value -0.93 is much close to -1. Thus, the correlation is strong.
The negative r-value shows the negative correlation. As the number -0.93 is negative, so it is negative correlation.
Thus, the best description, of the strength of the model with an r-value of –0. 93 is a strong negative correlation.
Learn more about the correlation coefficient here;
https://brainly.com/question/4219149
