Suppose that a researcher, using data on class size (CS) and average test scores from 100 thirdgrade classes, estimates the OLS regression A TestScore = 525.6040 + ( 5.8782)x cs, R2 = 0.10, SER = 11.6 (20.6040) (2.3426) Construct a 95% condence interval for [31, the regression slope coefcient. The 95% condence interval for B1 , the regression slope coefficient, is ( - 10.47 , - 1.29 ). (Round your responses to two decimal places.) The lstatistic for the two-sided test of the null hypothesis H0: [11 = 0 is - 2.5093 . (Round your response to four decimal places.) Note: Assume a normal distribution. The pvalue for the twosided test of the null hypothesis H0: B1 = 0 is 0.0120'. (Round your response to four decimal places.) Do you reject the null hypothesis at the 1% level? Yes, because the tstatistic is less than 2.58. Yes, because the pvalue is less than 0.01. Yes, because the tstatistic is greater than 2.58. No, because the pvalue is greater than 0.01. The pvalue for the twosided test of the null hypothesis Ho: B1 = 5.7 is 0.9394'. (Round your response to four decimal places.) Without doing any additional calculations, determine whether -5.7 is contained in the 95% confidence interval for [31. No, -5.7 is not contained in the 95% confidence interval for [11 . V Yes, - 5.7 is contained in the 95% confidence interval for 61. The 99% condence interval for BO is ( 472.4 , 578.8 ). (Round your responses to one decimal place.)