WILL GIVE BRAINLIEST The correlation coefficient between two quantitative variables is 0.8. What does the value of this correlation coefficient indicate about how well the model fits the data?

A.

The correlation coefficient is not within the correct range.

B.

The model is a good fit.

C.

The model is not a good fit.

D.

No conclusion can be drawn regarding how well the model fits the data.

E. There is no linear relationship between the two quantitative variables. ... It indicates a calculation​ error, as the correlation coefficient cannot be 0. ... The line of best fit running through a scatterplot is called the​ . ... influential point is used in the regression line to make predictions beyond the range of the data. B.

your answer is 228

step-by-step explanation:

add the top and bottom bases together, then divide them by 2, then multiply by the height.

yes because there is exactly one y value for every x value

for function there can't be more than one value for every x value