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Stat 3006: Statistical Methods II
2020 Fall
Practice Midterm 2
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Page 2
Part I Multiple Choice (40 points total) (5 points each)
will be accepted.
1. 2. 3. 4. 5. 6. 7. 8.
1. A study compares three levels of Factor A and two levels of Factor B, with five
observations in each cell. What are the degrees of freedom for the F statistic that is used
to test for interaction?
A) 2 and 24
B) 3 and 30
C) 5 and 6
D) 6 and 24
2. A study compares three levels of Factor A and four levels of Factor B, with seven
observations in each cell. What are the degrees of freedom for the F statistic that is used
to test for the main effect of Factor B?
A) 3 and 36
B) 3 and 72
C) 4 and 72
D) 4 and 84
3. Consider the following graphic results from a two-way ANOVA. These results show
__________.
A) no significant main effects or interaction effects.
B) a possible significant main effect for factor A and no other significant effects.
C) a possible significant main effect for factor B and no other significant effects.
D) a significant interaction effect and no other significant effects.
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4. With which of the following research questions could you use a two-way ANOVA
model for the analysis?
A) Is your score on the midterm exam a good predictor of your score on the final
exam?
B) Do your level of stress (high or low) and level of close friendships (several close
friends or few close friends) effect the number of days you are sick each year?
C) Does the number of days you exercise per week effect your weight lose?
D) Do your favorite color (red, green, blue, or pink) and your weight (overweight,
underweight, or appropriate weight) determine whether your first child will be a
boy or girl?
5. When examining a scatterplot for strength, you are looking to see _______.
A) how close the points in the scatterplot follow a line
B) how close the points in the scatterplot follow a curve
C) All of the above
D) None of the above
6. The statistical model for simple linear regression has the form
i i i 0 1 y x = + +    , i = 1,
are assumed to be Normally distributed with a mean of 0 and a standard
deviation of .
E) All of the above are true.
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7. The data referred to in this question were collected on 41 employees of a large
company. The company is trying to predict the current salary of its employees from
their starting salary (both expressed in thousands of dollars). The SPPS regression
output is given below as well as some summary measures:
What is an approximate 95% confidence interval for the slope 1?
A) (–7.57, 4.39)
B) (–4.52, 1.34)
C) (1.80, 2.41)
D) (1.95, 2.26)
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8. The data referred to in this question were collected on 41 employees of a large
company. The company is trying to predict the current salary of its employees from
their starting salary (both expressed in thousands of dollars). The SPPS regression
output is given below as well as some summary measures:
John Doe works for this company. He started with a salary of \$15,300. Predict his
current salary with a 90% confidence interval. Express the interval in the appropriate
units.
A) (\$15,683; \$45,537)
B) (\$18,204; \$43,015)
C) (\$28,580; \$32,640)
Page 6
Part II Analytic Questions (60 points total)
You must show your work to receive full credits. Failure to provide (calculation) steps will result
in deduction in credits.
9. (30 points)
The following partial ANOVA table was obtained from a 2-way ANOVA where three
advertisements were being compared among men and women. A total of 30 males and 30
females were sampled, and 10 of each were exposed to ads 1, 2, and 3, respectively. A
measure of attitude toward the brand was obtained for each subject. An uncompleted
ANOVA table is seen below.
Complete the ANOVA table by filling in the “?” with the appropriate values;
Part b. (6 points)
Write an ANOVA model describing this situation. What is the distribution assumption of the
error terms?
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Part c. (8 points)
What are the assumptions for the ANOVA model? How do you check these assumptions?
Part d. (5 points)
Perform a hypothesis testing whether the ad effects differ among the genders (and vice versa)
(α =0.05), and state your conclusion.
Page 8
10. (30 points) The adjacent data name the coal producing counties in Northeastern
Pennsylvania. It shows the number of employees working in coal production in
that county and gives the number (in thousands) of tons of bituminous coal
produced. The data are fitted by simple linear regression using R. The part of
outputs is shown below. The scatter plot for this data is also given below.
Table 1: Analysis of Variance
Source DF Sum of Squares Mean Square F Ratio
Model (A) 33316305 (D) (F)
Error (B) 10943695 (E)
Total (C) 44260000
Table 2: Parameter Estimates
Term Estimate Std Error t Ratio Prob>|t|
Intercept 544.77 918.85 (G) 0.5749
Ratio 5.24 1.22 (H) 0.0052
Part a. (6 points)
Write the simple linear regression model. Identify the variables and parameters. Find the
estimates for these parameters.
Page 9
Part b. (6 points)
Find the regression equation. Which method can be used to find the regression equation?
Explain this method.
Part c. (8 points)
The values missing from these two tables are:
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Part d. (5 points)
The researcher doubts if there is any relationship between the regressor and the response. So
he performs a test on the slope at a significant level 0.05. What is the appropriate hypothesis
and what test statistic should be used? And make conclusion based on the results. (α = 0.05).
Part e. (5 points)
Construct a 98% CI for the intercept.

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