Hand
in Monday
(D&V Ch.8 p.152 ff)
25&27 Burgers (type the data into SPSS)
19 SAT scores (You did 17 Day 15. Look in the answers
in the back of the book for the formula you calculated which you need for
part e.)
Chapter 9: D&V p. 174ff. unless otherwise noted:
1,3 Marriage age (Type your data into SPSS. Your answers
may vary. Cf.#13p.73)
2 Age difference
15, 16 Gestation (note, these are summarized data)
20 Life expectancy (SPSS)(again, summarized data) For
b, if an outlier is "impossible", delete it!
18 Smoking. (SPSS) Graph it and discuss what you might do to
model it; don't DO it.
Groups, from ActivStats Ch7 HW (same datasets you used before, different
questions)
A) Metabolic rate (MRA-81-4) on Lean Body Mass. i) Make
a scatterplot with the regression lines for the 2 sexes and the whole group.
(a graph with Panel variable Sex is good in addition). The R2
for Males is quite low, compared to that for Females, and compared to that
for the whole group. ii) Explain how the scatter that you see for
the two groups is consistent with their different R2's.
iii) How can it be that the more scattered Males added on to the
Females end up producing an R2 close to that of
the Females alone?
B) Bear neck/weight (TRE-58-26) i) Make a single scatterplot
with the regression lines for the 2 sexes. (Get rid of the Total
line) ii) Then do a graph with Panel variable Sex and regression
lines, better to see them separately. iii) Describe any bears which
are outliers and/or influential points, and any ways in which the
data are not well modeled by the straight lines. |
Read,
to discuss
Ch.9
p. 176:
11, 12, 13, 14
(all about outliers)
7a-d Reading |
Op-
tion-
al |