correlation coefficient for the data. round all values to the nearest hundredth. the equation of the line of…

correlation coefficient for the data. round all values to the nearest hundredth. the equation of the line of best fit of the data is y = -0.4x + 4. the correlation coefficient is r = -0.91. interpret the correlation coefficient. strong negative correlation weak negative correlation weak positive correlation strong positive correlation

correlation coefficient for the data. round all values to the nearest hundredth. the equation of the line of best fit of the data is y = -0.4x + 4. the correlation coefficient is r = -0.91. interpret the correlation coefficient. strong negative correlation weak negative correlation weak positive correlation strong positive correlation

Answer

Explanation:

Step1: Recall correlation coefficient interpretation

The correlation coefficient $r$ ranges from - 1 to 1. If $r$ is close to -1, it's a strong negative correlation; if close to 0, weak correlation (either positive or negative); if close to 1, strong positive correlation.

Step2: Analyze given $r$ value

The given correlation coefficient $r=-0.91$. Since $|r| = 0.91$ is close to 1 and $r<0$, it indicates a strong negative correlation.

Answer:

strong negative correlation