Question

•he data consist of growth measurements for 11 girls and 16 boys at ages 8, 10, 12, and 14.

•

•Based on the long form of this data set, considering the effect of gender, generate the following:

–Individual response profile

–Mean response profile

–Boxplot response profile

•Based on the wide form of this data set

–Create the mean summary measure (MSM) of (y2 y3 y4)

–Generate the boxplot for mean summary measure by gender

–Perform an analysis of covariance

•model MSM = y1 Gender

–Repeat using y4 as a summary measure instead of MSM.

•Fit a random intercept linear mixed effect model.

•Produce a plot comparing the actual individual response profile to the predicted.

Repeat the above using a random slope and intercept model

Person	Gender	y1	y2	y3	y4
1	F	21	20	21.5	23
2	F	21	21.5	24	25.5
3	F	20.5	24	24.5	26
4	F	23.5	24.5	25	26.5
5	F	21.5	23	22.5	23.5
6	F	20	21	21	22.5
7	F	21.5	22.5	23	25
8	F	23	23	23.5	24
9	F	20	21	22	21.5
10	F	16.5	19	19	19.5
11	F	24.5	25	28	28
12	M	26	25	29	31
13	M	21.5	22.5	23	26.5
14	M	23	22.5	24	27.5
15	M	25.5	27.5	26.5	27
16	M	20	23.5	22.5	26
17	M	24.5	25.5	27	28.5
18	M	22	22	24.5	26.5
19	M	24	21.5	24.5	25.5
20	M	23	20.5	31	26
21	M	27.5	28	31	31.5
22	M	23	23	23.5	25
23	M	21.5	23.5	24	28
24	M	17	24.5	26	29.5
25	M	22.5	25.5	25.5	26
26	M	23	24.5	26	30
27	M	22	21.5	23.5	25

Answer 1

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