Dexterity, as a measure of hand function, is an important component of a thorough hand evaluation. This is especially true in children, for whom the relationship between the commonly measured parameters of range of motion, sensation, and strength may not reflect actual functional ability. Gogola et al. (2013) conducted a study to document normative values from the Functional Dexterity Test (FTD) for typically developing children and to optimize test administration and interpretation. The FDT is a timed pegboard test consisting of 16 thick cylindrical pegs arranged in 4 rows of 4 pegs each. Patients turn over all pegs in a specified order by manipulating each peg in their hand. A total of 174 typically developing children aged 3 to 17 years participated in the study. Children completed the 16-peg FDT with either their dominant (n=105) or nondominant (n=69) hand, and elapsed time was recorded in seconds. Data were analyzed as 16/time, interpreted as FDT speed (pegs per second). Using a 0.05 significance level and the given computer output, you need to test the claim that the mean FDT speeds for dominant (1) and nondominant (0) hands differ significantly after adjusting for age (in years) by answering the questions that follow.

These data were analyzed using two different models. Results from the analysis are provided below labeled SAS Output 1 and SAS Output 2. To answer some of the questions that follow, you need to fill in some critical pieces of information that have been deleted.

SAS Output 1

SAS Output 1 Sum of Source DF Squares Mean Square F Value Pr > F Model 2 3.80059550 1.90029775 153.58 F Age 1 3.74614560 3.74614560 302.77 <.0001 dominant standard parameter estimate error t value pr> It| Intercept 0.2309333571 B 0.02726990 8.47 <.0001 age dominant b least squares means adjustment for multiple comparisons: tukey-kramer ho:lsmean1="LSMean2" speed lsmean pr> It| 0.69828145 <.0001 op output sum of source df squares mean square f value pr> F Model 3 3.80079004 1.26693001 101.80 <.0001 error corrected total r-square coeff var root mse speed mean source df type lll ss square f value pr> F Age 1 3.22634279 3.22634279 259.25 <.0001 dominant age standard parameter estimate error t value pr> It| Intercept 0.2264932870 B 0.04482257 5.05 <.0001 age b dominant b053 which of the following statements is true based on gure below e i i.inolf linear ludnrnlnlnt ai select one: a. regression lines are coincident. o b. parallel but not coincident c. parallel. and there a same direction interaction. d. reverse e. as increases mean fdt speeds increase at different rates for nondominant hands>