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

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

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

Answer

Brief Explanations:

The correlation coefficient measures the strength and direction of a linear relationship. A value close to 0 indicates a weak or no linear relationship, making a linear - regression model unreasonable. The slope alone doesn't fully determine the suitability of a linear regression model. A slope close to - 1 or a correlation coefficient close to - 1 indicates a strong negative linear relationship, which is suitable for linear regression.

Answer:

B. a correlation coefficient close to 0