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Homework Assignment 4
STAT 1221/2220 Dr. Bodenschatz
Homework 4 Due in class on Feb 11. Points shown total 12.5.
Use MINITAB where helpful. Remember to annotate your computer output and show your
work.
Points
Problem
Page
Comments
2
1.5
2
2
1b
4b
9 b,c
11
Homework Assignment 5
STAT 1221/2220 Dr. Bodenschatz
Homework 5 Due in class on Feb 18. Points shown total 10.
Use MINITAB where helpful. Remember to annotate your computer output and show your
work.
Points
Problem
Page
Comments
4
1a (1) and (2)
151
Refer
Homework Assignment 2
STAT 1221/2220 Dr. Bodenschatz
Homework 2 Due in class on Jan 28. Points shown total 16.
Note the comment at the bottom of page 74 in the textbook. Use MINITAB for all these
problems (at least to get the estimates and standard errors
Homework Assignment 1
STAT 1221/2220 Dr. Bodenschatz
Remember to follow the general homework instructions provided in the syllabus handout.
Homework 1 Due in class on Jan 14. Points shown total 11.
Answer the questions asked in all parts of the problems.
1.
residual studentized jackknife levevage
1(a)
By Observing the two scatterplots, we can see that the linearity assumption has been
violated as it takes on a curve appearance. A linearizing transformation should be
applied (log10(dry weight) can be used
1(a) From the First diagram of relationships between age(X) and dry weight(Y), Y
increases with the increasing of X, but the relationship is not a straight line, so there is
not a linear relationship between age(X) and dry weight(Y).
From the Second diagr
1(a) r value shows the proportion of total variation
by the matrix, r SBP AGE=0.7752
r SBP SMK =0.2473
r SBP QUET =0.7420
Thus, r SBP AGE =0.7752 is larger than other two, so Age with r value of 0.7752
explains the largest proportion of the total variatio
Chapter 6
1(b)
Correlation: AGE, DRYWGT
r=0.863
Pearson correlation of AGE and DRYWGT = 0.863
P-Value = 0.001
Regression Analysis: DRYWGT versus AGE
Analysis of Variance
Source
DF Adj SS Adj MS F-Value P-Value
Regression 1 6.079 6.0785 26.18 0.001
AGE
1 6
1(f) In part (d), the most appropriate is LOGDRYWG and AGE.
Prediction for LOGDRYWG
Regression Equation
LOGDRYWG = -2.6893 + 0.19589 AGE
Variable Setting
AGE
8
X 0 =8
Fit
SE Fit
95% CI
95% PI
-1.12213 0.0116677 (-1.14852, -1.09573) (-1.19090, -1.05335)
By
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Homework Assignment 7
STAT 1221/2220 Dr. Bodenschatz
Homework 7 Due in class on Mar 17. Points shown total 11.
Use MINITAB where helpful. Remember to annotate your computer output and show your
work.
There are often multiple ways of finding what you need
Homework Assignment 8
STAT 1221/2220 Dr. Bodenschatz
Homework 8 Due in class on Mar 24. Points shown total 15.
Use MINITAB where helpful. Remember to annotate your computer output and show your
work.
Points
Problem
Page
3
4
4
2
4
1
242-4
245-6
383
4
2
383
Homework Assignment 6
STAT 1221/2220 Dr. Bodenschatz
Homework 6 Due in class on Mar 3. Points shown total 15.
Use MINITAB where helpful. Remember to annotate your computer output and show your
work.
Points
Problem
Page
2
4
4
5
1
3
4
7 a through e
188
189-
Homework Assignment 10
STAT 1221/2220 Dr. Bodenschatz
Homework 10 Due in class on Apr 14. Points shown total 10.
Use MINITAB where helpful. Remember to annotate your computer output and show your
work.
Points
Problem
Page
Comments
10
2
284-5
Use BOTH Meth
Homework Assignment 9
STAT 1221/2220 Dr. Bodenschatz
Homework 9 Due in class on Mar 31. Points shown total 10.
Use MINITAB where helpful. Remember to annotate your computer output and show your
work.
Points
Problem
Page
Comments
10
2
426-7
In part (c), I