6. A set of data points has a correlation coefficient r = -0.86. Your friend claims that because the correlation coefficient is close to -1, it is reasonable to use the

line of best fit to make predictions. Is your friend correct? Explain your reasoning.

Yes

Step-by-step explanation:

The line of best fit is used in linear regression models to make predictions, the line of best fit gives the relationship between the dependent and independent variables by obtaining the Coefficient of correlation. The Coefficient of correlation is a value which ranges from - 1 to 1. With values close to either - 1 or 1 depicting a strong negative and positive relationship respectively. Hence, with a correlation Coefficient of - 0.86, which signifies a strong negative relationship, then we can go ahead and make prediction using the model.

no because mercury has a density of 13.6 grams per centimeter squared while gold has 19.32 grams centimeter squared

step-by-step explanation: