Suppose that a researcher, using data on class size (CS) and average test scores from 100 third-grade classes, estimates the OLS regression A TestScore= 541.2160 + ( 6.0528)X cs, R2 = 0.09, SER = 12.0 (21.2160) (2.2321) Construct a 95% condence interval for [31 , the regression slope coefcient. The 95% condence interval for (31, the regression slope coefcient, is ( - 10.48 , - 1.62 ). (Round your responses to two decimal places.) The t-statistic for the two-sided test of the null hypothesis H0: [31 = 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 H0: (31 = 0 is 0.0067 . (Round your response to four decimal places.) Do you reject the null hypothesis at the 1% level? A. Yes, because the tstatistic is greater than 2.58. B. Yes, because the tstatistic is less than 2.58. C. No, because the p-value is greater than 0.01. .V D. Yes, because the pvalue is less than 0.01. The p-value for the two-sided test of the null hypothesis H0: [31 = - 5.8 is 0.9100 . (Round your response to four decimal places.) Without doing any additional calculations, determine whether - 5.8 is contained in the 95% condence interval for [51 . no. u\" Fag. \"2.2:\"; a. .L. mm \"Al-.424\" abysmal. The 99% condence interval for [30 is ( , ). (Round your responses to one decimal place.)