Regression analysis in SPSS

Question 1
An experiment involves three treatment groups; group A, group B and a control group
(i.e. no treatment). Three hundred subjects are randomly assigned to the groups creating
three groups of one hundred.
a. If the experimenter wants the regression slopes to compare each treatment mean
to the control group mean, how should the codes be set up? Are they orthogonal?
b. If the experimenter wants to perform the following comparisons, how should the
codes be set up? Are these orthogonal?
1. Treatment vs No Treatment
2. Treatment A vs Treatment B

Question 2
The school board of a particular town wants to compare the three high schools in the
town. A multiple regression analysis is conducted using the contrasts shown below. Use
the means table also shown to find the prediction equation: ) 2 c ( b ) 1 c ( b b Yˆ i = 0 + 1 + 2 , i.e.
find the values of b0, b1, and b2. Describe (in a sentence each) the meaning of the
coefficient of c1 and c2.
c1 c2 Mean SAT N
School 1 1 1 School 1 992 100
School 2 -2 0 School 2 988 100
School 3 1 -1 School 3 986 100

Question 3
A researcher is interested to know if playing a musical instrument has a significant effect
on grade point average (gpa). She records whether or not a student plays an instrument
and their gender.
Using the data, run the appropriate analysis and interpret the results. Include the group
means and a plot of these (i.e. a graph of the interaction or non-interaction) in your
interpretation as well as a separate effects ANOVA table.

Question 4
A company is interested in ways of improving employee production. The management
decided to attempt to increase company pride and moral by providing one day a month
that would be different from a normal work day. They could not decide if this day should
include some sort of work related activities (such as training or other workshops, group
A) or if the day should be purely social (trips to the movies or a museum, group B). The
research department randomly assigned 15 people to each group. They also recorded
each worker's salary. Using the data, perform the appropriate analysis in SPSS.
Summarize the results.