A least-squares simple linear regression model was fit predicting variable y from x. See the output below. What conclusions can we draw from this output? (Select all that apply) Estimate SE t-statistic p-value Intercept -17.1222 10.1548 -1.6861 0.095 X -0.5665 0.1861 -3.0446 0.00299234 As x increases, y decreases. We have sufficient evidence at the alpha = 0.05 level that $1#0 (there is a linear association). As x increases, y increases. We do not have sufficient evidence at the alpha = 0.05 level that (1 = 0 (there is not a linear association)