A computer scientist wants to know whether or not ability to write code is influenced by educational background (college educated or not) and early childhood exposure to computer science (no exposure prior to age 7, inconsistent exposure prior to age 7, regular exposure prior to age 7). He provides a coding instruction to 30 participants (all between the ages of 25 and 35) who have all taken the same coding intro course and gives each participant 30 minutes to complete the instruction. The results of the activity are then tabulated by the scientist's research assistant. Table 2. Tests of Between-Subjects Effects Dependent Variable: Memory for Assailant Source Type III Sum of df Mean F Sig. Squares Square Corrected 36.855 5 7.371 13.960 .000 Model Intercept 853.333 853.333 1616.162 .000 Education 9.408 9.408 17.818 .000 Exposure 25.633 12.816 24.273 000 Education x 1.814 C 907 1.718 .201 Exposure Error 12.672 6 528 Total 902.860 30 Corrected 49.527 29 Total a. R Squared = .857 (Adjusted R Squared = .830) Question: Please use the corresponding letters under the "df" (degree of freedom) column in the table above (Table 2) to indicate the accurate degrees of freedom - please show work as to how you came to the correct answer for each one: A = B = C=