The variance of the residuals is 24, the variance of the outcome is 48, the number of observations is 101, and the number of predictors is 20. What is the adjusted R- squared value? 0.625 0.5 0.25 0.375 Question 86 (1 point) Given a sample size of 15 with no outliers, a t* value of 1.76 for 14 degrees of freedom, a sample mean of 0.287, a standard error of 0.0178, and a confidence level of 90%, what is the confidence interval? (-0.041, 0.072) (0.059, 0.083) (0.256, 0.318) hpQuestion 82 (1 point) A Type I error is committed by counting more than one error as one error rejecting a false null hypothesis rejecting a true null hypothesis Question 83 (1 point) A Type II error is committed when a researcher fails to reject a false null hypothesis counts one error as two errors rejects a false null hypothesis Question 84 (1 point) Critical Value Significance Level (a More) (p value)