Suppose that a researcher, using data on class size (CS) and average test scores from 100 third-grade classes, estimates the OLS regression TestScore = 541.2160 + (-6.0528) x CS, R2 = 0.09, SER = 12.0 (21.2160) (2.2321) Construct a 95% confidence interval for B1, the regression slope coefficient. The 95% confidence interval for B, , the regression slope coefficient, is ( - 10.48 , - 1.62 ). (Round your responses to two decimal places.) The t-statistic for the two-sided test of the null hypothesis Ho: B1 = 0 is - 2.7117 . (Round your response to four decimal places.) Note: Assume a normal distribution. The p-value for the two-sided test of the null hypothesis Ho: B, = 0 is 0.0067 . (Round your response to four decimal places.) Do you reject the null hypothesis at the 1% level? O A. Yes, because the t-statistic is greater than 2.58. O B. Yes, because the t-statistic is less than 2.58. O C. No, because the p-value is greater than 0.01. D. Yes, because the p-value is less than 0.01. The p-value for the two-sided test of the null hypothesis Ho: B1 = - 5.8 is . (Round your response to four decimal places.)