Interpret a Confidence Interval for the Slope of a Regression

Interpret a confidence interval for the slope of a regression equation.
-A researcher decides to investigate his students' suspicions that longer essays receive
Better scores on the SAT exam. He gathers data on the length of essays (number of lines)
And the SAT scores received for a sample of students enrolled at his university. Based on
His regression results, the 95% confidence interval for the slope of the regression equation
Is -0.88 to 1.34. At α = 0.05, we can say

A) There is a statistically significant association between length of essays and SAT score.
B) The correlation between length of essays and SAT score is significant.
C) The slope of the regression equation is significantly different from zero.
D) The slope of the regression equation is not significantly different from zero.
E) The relationship between length of essays and SAT scores is significant and negative.