A 90 percent confidence interval for the slope of a regression line is determined to be (\(-\)0.181, 1.529) . Which of the following statements must be true?

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A confidence interval from \(-\)0.181 to 1.529 is centered at 0.674. This implies a distribution with a positive slope. The data would have a positive correlation coefficient that corresponds to this value.

The sum of the residuals can be negative, positive, or zero, depending on the data's distance from the regression line.

The scatterplot does not need to show a linear pattern. This is determined by the magnitude of the correlation coefficient, which is unknown.

The slope can be anything in the confidence interval.