which characteristic of a data set makes a linear regression model unreasonable?\n a slope close to 0\n a…

which characteristic of a data set makes a linear regression model unreasonable?\n a slope close to 0\n a correlation coefficient close to 0\n a slope close to -1\n a correlation coefficient close to -1

which characteristic of a data set makes a linear regression model unreasonable?\n a slope close to 0\n a correlation coefficient close to 0\n a slope close to -1\n a correlation coefficient close to -1

Answer

Brief Explanations:

The correlation coefficient ($r$) measures the strength and direction of a linear relationship. When $r$ is close to 0, it indicates a weak or no linear relationship, making a linear - regression model unreasonable. A slope close to 0 just means a flat line in the regression model but doesn't necessarily rule out linearity. Slopes close to - 1 or correlation coefficients close to - 1 indicate a strong negative linear relationship, which is suitable for linear regression.

Answer:

B. a correlation coefficient close to 0