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 er > F Model A 0.29356 0.29356 0.21 0.6503 Error 53 89.12658 Corrected Total 64 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 Pr > It| 95% Confidence Limits Intercept 1 2.11762 1.09929 1.93 0.0586 -0.07915 4.31439 Age 1 0.00845 0.01855 D 0.6503 -0.02862 0.04552 8. What type of analysis is this? (1 point) a. Two-sample t-test b. Paired t-test c. Simple linear regression d. Multiple linear regression e. Contingency table analysis9. What are the independent and dependent variables? (1 point) Dependent variable = age, independent variable = disease activity score Dependent variable = disease activity score, independent variable = age Dependent variable is unknown, independent variable = disease activity score Dependent variable is unknown, independent variable = age Variable order does not matter here, i.e. (x, y) is the same as (y, 3:). Either disease activity score or age can be the independent variable. The other is then the dependent variable. sup-99's 10. What are the most appropriate null and alternative hypotheses for this analysis? (1 point) a. Ho:p=0,H1:p;E0 b. Ho:o=0,H1:o0 c. Ho:1=0,H1:10 d. Ho:bo=0,H1:bo0 e. Ho:b1=0,H1:b10 11. What is the size of our sample used in the model? (1 point) she-.0279 ON Ln Cannot be determined 'orn the given information