How do you determine these?

For questions 8-18, refer to the following information: Recall that researchers in the previous rheumatoid arthritis (RA) study were interested in exploring age differences in both disease activity measurement and treatment. RA patients in two age ranges who were receiving care at a clinic in Philadelphia were included. The data consisted of elderly (75+ years) RA patients and younger (40-70 years) RA patient "controls." Using a 0.05 significance level, you need to test the claim that the patient's age can be used to predict the disease activity score, which was only available for a subset of the patients. The researchers generated the following results using SAS@ software; however, they do not know how to interpret any of the output. Confident of your statistical abilities, they have come to you with their output and a list of questions. It's now your job to help them interpret their output. Don't let them down! Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model A 0. 29356 0. 29356 0. 21 0 . 6503 Error 63 89 . 12658 Corrected Total Root MSE 1. 18941 R-Square 0 . 0033 Dependent Mean 2. 61385 Adj R-Sq -0 . 0125 Coeff Var 45 . 50439 Parameter Estimates Parameter Standard Variable DF Estimate Error t Value Prat 958 Confidence Limits Intercept 2. 11762 109929 193 0 . 0586 -0 . 07915 4 . 31439 Age . 00845 0. 01855 D 0 . 6503 -0 . 02862 0 . 04552 1. Mean Square Error, labeled C (1 point) a. 89.42 b. 89.13 C. 88.83 d. 1.41 e. 0.29 2. What is the value of the test statistic and the p-value that can be used to test the null hypothesis? (1 point) a. t= 1.93, p = 0.059 b. 1= 0.0085, p = 0.65 c. t= 0.46, p = 0.65 d. F=0.21, p=0.65 e. Both a and d are correct f. Both b and d are correct g. Both c and d are