Suppose that a researcher, using data on class size (CS) and average test scores from 100 third-grade classes, estimates the OLS regression TestScore = 483.9720 + (- 5.4126) × CS, R² = 0.10, SER= 10.7 (18.9720) (2.0553) Construct a 95% confidence interval for B₁, the regression slope coefficient. The 95% confidence interval for B₁, the regression slope coefficient, is (☐, ☐ ). (Round your responses to two decimal places.) The t-statistic for the two-sided test of the null hypothesis Ho: B₁ = 0 is ☐ . (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: B₁ = 0 is ☐ . (Round your response to four decimal places.) Do you reject the null hypothesis at the 1% level? A. Yes, because the t-statistic is greater than 2.58. B. Yes, because the p-value is less than 0.01. C. Yes, because the t-statistic is less than 2.58. D. No, because the p-value is greater than 0.01. The p-value for the two-sided test of the null hypothesis Ho: B₁ = - 5.2 is ☐ . (Round your response to four decimal places.) Without doing any additional calculations, determine whether - 5.2 is contained in the 95% confidence interval for ẞ₁. A. Yes, -5.2 is contained in the 95% confidence interval for ẞ₁. B. No, -5.2 is not contained in the 95% confidence interval for ẞ₁. The 99% confidence interval for B is ( ☐, ☐). (Round your responses to one decimal place.)