Bus302 -what is the prime factor influencing bbs

BUS 302
“What is the prime factor
influencing BBS students’
choice of Major?”
Research Paper

BUS 302
December 07, 2014
Page 1
SUBMITTED BY
Sl. Name I.D.
1 Samiya Yesmin 11304043
2 Protiti Khan 11304018
3 Sadid Mahmud 10204075
4 Jubaer Al Noman 09204090
5 Mir Sharif 11304033
“What is the prime factor influencing BBS students’
choice of Major?”
Dr. Azmeri Khan
Section 02
12/07/2014

BUS 302
December 07, 2014
Page 2
LETTER OF TRANSMITTAL
Date: December 07, 2014
Dr. Azmeri Khan
Adjunct Faculty
BRAC Business School
Subject: Approval for the submission of BUS302 research paper.
Dear Madam,
With due respect and regards we have completed our term paper for our course
BUS302 (Research Methods in Business & Management).
We have tried our best to work closely with our sample data & everything taught in
class. However, if any mistakes are found, we are sorry for that. With this we are submitting
the term paper for your perusal.
Yours Sincerely,
Samiya Yesmin ………………
Protiti Khan ………………
Sadid Mahmud ………………
Jubaer Al Noman ………………
Mir Sharif ………………

BUS 302
December 07, 2014
Page 3
CONTENTS
Letter of Transmittal ..................................................................................................................2
1. Summary.......................................................................................................................4
Research Details:.......................................................................................................5
Methodology..............................................................................................................6
Limitations:................................................................................................................6
2. Literature Review .........................................................................................................7
3. Prime Factors Influencing BBA Students’ Choice Of Major:......................................8
Factor 1: The scope to gain knowledge .....................................................................8
Factor 2: Future Job Opportunities...........................................................................9
Factor 3: Personal Preference..................................................................................11
Factor 4: Family Influence ......................................................................................12
Factor 5: Peer Influence...........................................................................................14
Factor 6: Faculty Influence......................................................................................15
Factor 7: Opportunity to study abroad.....................................................................17
4. Cross Analysis:...........................................................................................................18
5. Conclusion & Recommendation.................................................................................21
6. Appendix ....................................................................................................................21
6.1 Works Cited.......................................................................................................21
6.2Table of Figures:.................................................................................................21
6.3 Questionnaire.....................................................................................................22
6.4 Value Calculations.............................................................................................23

BUS 302
December 07, 2014
Page 4
1. SUMMARY
Choosing a Major is important decision in the person life because its effect in the
study continuity, success or failure, satisfaction or dissatisfaction, and determine the job
opportunity, appropriate financial return and social status, therefore, Beggs et .al (2008)
define "good" major choice as the major best capable of helping the student to achieve their
educational and post-education goals, they added the matching between the students' abilities
and interest and the abilities required for the major is important in selection majors by
undergraduate business students. The purpose of this study was to examine some of the
factors that influence and impact business students when they select their major. Factors
related to familiarity with possible career options and sources of information were examined.
In addition, traditional factors, such as those related to career outcomes, characteristics of the
profession itself, and referent groups, were also examined. Respondents were more
knowledgeable about careers in management, marketing, accounting, and finance than they
were about careers in other areas. Factors related to the profession itself, such as personal
interest in the subject matter, knowledge gain, job opportunity, influence of peers, faculty and
parents, value of the subject in abroad, had great importance when selecting a major. In our
research we have considered BRAC Business School students, only. They have been
provided with a survey question to reflect their choices of major. The research was conducted
to identify the prime factor influencing BBS students’ choice of Major.
The research was conducted with limited time duration, few volunteer research
members and with constrained resources. The research respondent was randomly selected
from the BBS department students. Efforts were given to restrain any manner of biasness or
research manipulation.

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December 07, 2014
Page 5
RESEARCH DETAILS:
ResearchQuestion:
“What is the prime factor influencing BBS students’ choice of Major?”
It is important to know what the students are considering preferable for their future
and the reasons behind it. To answer this question, a qualitative approach has been taken
through conducting a structured questionnaire survey, and we have considered knowing the
facts and all the necessary data was available to find out the main factors that are influencing
their decision.
Type of Research:
Formulating a framework for a proper research and deciding on the type of research
that will be followed is very important. Our research type here is Causal, where essentially
we needed to understand which variables are the cause, and which variables is the effect. In
this scenario, the seven different factors were the cause, and the decision taken influenced by
those factors is the effect.
Sampling:
As our population was BRAC Business School students, from which we took a
sample of 60 students. Here in our research, we did “Non-Probability Sampling”, because
Non-Probability sampling is useful for expert researchers not for Novice like us. So, we go
for Non - Probability sampling.
Variable traits:
The entire possible attribute of a variable is known as trait of the variable. Here in our
research the trait is: Student= (Male, Female).
This is mutually exclusive, it means one student cannot be male and female student all
together; same student do not answer twice. In our research, we only focus on 60 students and
made comments depending on their information.

BUS 302
December 07, 2014
Page 6
Time reference:
Research is “Cross Sectional”, as because here we pick up a slice of time to know
what the reason behind deciding major. This research is not longitudinal because here
researcher observes the same individual or thing on different time; longitudinally they are
moving, but here in our researcher we do not do such things. It is not repeated, as we do not
do our researcher repeatedly, last but not the least, it is not time series, as it is not fixed on
calendar time like calculating GDP.
METHODOLOGY
Only primary data have been used for the purpose of this study. To collect the primary
data a questionnaire was designed in light of the objectives of the study. Students of Brac
Business School, both males and females were asked to fill up the questionnaire that had been
provided online. We asked ordinal question to rank the factors influencing their major course
decision. We told the respondents to tick the preference 1, 2, 3, 4 or 5 to the factors, where 1
is “highly disagree” and 5 is the “highly agree” in case of the respondent's decision.
LIMITATIONS:
There were several limitations to this study. Firstly, the estimated results may not
represent the population as no clear image can be observed about the feature and size of the
population. Secondly, the data were collected only from Brac Business School through a
sample of 60 students. The study sample was little if compared to the total number of
students studying in BBS and decided major. Thus the results may not indicate the actual
result that we have tried to find out.

BUS 302
December 07, 2014
Page 7
2. LITERATURE REVIEW
For our research paper we studied some articles and journals in order to get a clear
understanding and view about our research question. Making decisions regarding the choice
of major for business administration students is both important and challenging. An
understanding of this decision-making process can be valuable for students, parents, and
university programs.
From an article on “An Examination of Factors Influencing Students Selection of
Business Majors” of Decision Sciences (Journal of Innovative Education) published in 25th
December 2012, that their study applies the Theory of Reasoned Action (TRA) consumer
decision-making model to examine factors that influence college students’ intentions to
choose a business major. A total of 670 undergraduate students enrolled at a large mid
western university participated in the study. Social image, job availability, and aptitude were
found to be significant factors that impact students’ decisions to select a business major. The
results also reveal that family, high-school counselors, and professors have a major influence
on students’ decisions. Furthermore, some unique differences were found related to gender
and decided/undecided status of students.
We also found another article from IOSR Journal of Business and Management
regarding Factors that influence choice of Business Major. The purpose of their study was to
examine the impact of personal factors and future job factors on choice of business as a major
field of study. The study also aimed to investigate the relationship between students' gender,
general secondary average and the branch in general secondary, and the choice of business as
a major, from the perspective of business students at Tafila Technical University (TTU) in
academic year 2011/2012. The study reached that the parents have a significant influence on
the major selection, siblings and friends also consider important source to select the major,
while the teachers and media are least amongst the selected factors. The respondents give
more importance for future job factors; they agreed that the future earning, career option,
occupational prestige and type of work are the most important factors that affect the selection
of the business major. The results also, mentioned that there is a significant relationship
between independent variables (i.e. gender, general secondary average and the branch in
general secondary) and dependent variable (i.e. choice business as a major field of study).

BUS 302
December 07, 2014
Page 8
3. PRIME FACTORS INFLUENCING BBA STUDENTS’
CHOICE OF MAJOR:
We have identified seven prime factors that influence a bachelor of business
administration student’s choice of Major, for his/her degree. They are:
1. The scope to gain knowledge in that field of Major.
2. Future job opportunities in that field of Major.
3. Personal preference regarding choice of Major.
4. Family influence on student’s choice of Major.
5. Peer influence on student’s choice of Major.
6. Faculty influence on student’s choice of Major.
7. Future opportunities to study abroad, for post graduation degrees.
After collecting data through our questionnaire on these seven factors, we have analyzed it in
three methods. They are:
1. Frequency Table.
2. Hypothesis testing for each factor.
3. Cross comparison.
We used excel to compute all our calculations and figures, especially for finding the
Pearson’s r-value and the p-value, we did Regression.
FACTOR 1:THE SCOPE TO GAIN KNOWLEDGE
Frequency Analysis:
TABLE 1: FACTOR 1 FREQUENCY TABLE
FIGURE 1: FACTOR 1 FREQUENCY GRAPH
Interpretation:
30% of students do “Agree” that “to gain knowledge” is an important factor while
deciding one’s choice of major, while 14% “Highly Agree” and 12% are “Neutral” about it.
So there really isn’t a clear picture of the correlation between the factor and its importance.
To Gain
Knowledge
Frequency
Frequency
Percentage
Highly Agree 14 23%
Agree 30 50%
Neutral 12 20%
Disagree 4 7%
Highly Disagree 0 0%
Total 60 100%
0
10
20
30
40
Highly
Agree
Agree Neutral Disagree Highly
Disagree
To Gain Knowledge

BUS 302
December 07, 2014
Page 9
Hypothesis Test:
Value
Pearson's correlation (r) 0.35
p-Value 0.0061
N 60
Α 5%
Interpretation:
Step 1: Ho: To Gain Knowledge is the prime factor to decide Major
Ha: To Gain Knowledge is NOT the prime factor to decide Major
Step 2: Here the level of Significance (α) = 0.05.
Step 3: We have used z-test and it is a two tailed test in this hypothesis testing
Step 4: p-value= 0.0061
Step 5: Here, p-value= 0.0061, α/2= 0.05/2= 0.025
Now, 0.0061< 0.025
P-value < α/2
Step 6: To accept Ho, p-value > α/2
As p-value, 0.0061, is less than α /2, 0.025, we will accept Null Hypothesis (Ho). So, we are
accepting Alternative Hypothesis (Ha).
Step 7: So, student do prefer to gain knowledge for selecting major course. They are strongly
positively correlated, r=0.35.
FACTOR 2: FUTURE JOB OPPORTUNITIES
Frequency Analysis:
TABLE 2: FACTOR 2 FRQUENCY TABLE
Figure 2: Factor 2 Frequency graph
Job
opportunity
Frequency
Frequency
Percentage
Highly Agree 15 25%
Agree 32 53%
Neutral 10 17%
Disagree 2 3%
Highly
Disagree
1 2%
Total 60 100%
0
10
20
30
40
Highly
Agree
Disagree
Job Opportunity

BUS 302
December 07, 2014
Page 10
Interpretation:
53% Students “Agree” that future job opportunity is a very important factor while
deciding one’s choice of major. So to show the exact relationship the factor and its
importance, we’ll do the hypothesis test.
Hypothesis Test:
Value
p-Value 0.618
N 60
Interpretation:
Step 1: Ho: Future Job Opportunity is the Prime Factor to Decide Major
Ha: Future Job Opportunity is NOT the prime factor to decide Major
Step 3: We have used z-test and it is a two tailed test in this hypothesis.
Step 4: p-value= 0.618
Step 5: Here, p-value= 0.618 and α /2=0.05/2=0.025
0.618>0.025
p-value> α /2
Step 6: To accept Ho, p-value> α /2
Here, p-value is greater than α /2 value. We will not rejecting null hypothesis (Ho).
Step 7: So, students consider Future Job opportunity as prime factor as Major course. They
are weakly positively correlated, r=0.065.

BUS 302
December 07, 2014
Page 11
FACTOR 3:PERSONAL PREFERENCE
Frequency Analysis:
TABLE 3: FACTOR 3 FEQUENCY TABLE
Interpretation:
From the Frequency table we can see that
maximum number of students “Agree” that
“Personal Preference” is a prime factor to decide
their Major. The relation is on the positive side.
But there is a high number of students
who “Highly agree” and who are “Neutral” about
this. Therefore from here we cannot conclusively
say that Personal Preference is the prime factor
to decide major.
And hence we will carry out a hypothesis
test.
FIGURE 3: FACTOR 3 FREQUENCY
GRAPH
Hypothesis Test:
Value
p-Value 0.244
N 60
Personal
Preference
Frequency
Frequency
Percentage
Highly Agree 19 32%
Agree 22 37%
Neutral 11 18%
Disagree 7 12%
Total 60 100%
0
5
10
15
20
25
Highly
Agree
Disagree
Frequency
PersonalPreference

BUS 302
December 07, 2014
Page 12
Interpretation:
Step 1: Ho: Personal Preference is NOT the prime factor to decide Major
Ha: Personal Preference is the prime factor to decide Major
Step 3: We have used z - test and it is a two tailed test in this hypothesis
Step 4: p value= 0.244
Step 5: Here p - value = 0.244 & α /2 = 0.05/2 = 0.025
Since, p > α /2
i.e. 0.244 > 0.025
Step 6: Therefore we fail to reject the Null Hypothesis (Ho).
Step 7: Therefore we can say Personal Preference is not the prime factor to decide major.
They are strongly positively correlated, r=0.153.
FACTOR 4:FAMILY INFLUENCE
Frequency Analysis:
Family Influence Frequency
Frequency
Percentage
Highly Agree 12 20%
Agree 22 37%
Neutral 22 37%
Disagree 4 7%
Total 60 100%
0
5
10
15
20
25
Highly
Agree
Disagree
Frequency
Family Influence

BUS 302
December 07, 2014
Page 13
Interpretation: From the frequency table, we can see that equal number of studnts
“Agree” and are “Neutral” about the fact that Family Influence is the Prime Factor to decide
major. Therefore from this we cannot conclusively say that whether Family Influence is the
prime factor to decide the major or not.
Hypothesis Test:
Interpretation:
Step 1: Ho: Family Influence is the prime factor to decide Major
Ha: Family Influence is NOT the prime factor to decide Major
Step 3: We have used z - test and it is a two tailed test in this hypothesis
Step 4: p – value= 0.9778
Step 5: Here p - value = 0.9778& α/2 = 0.05/2 = 0.025
Since, p > α/2
i.e. 0.9778> 0.025
Step 6: Therefore we fail to reject the Null Hypothesis (Ho).
Step 7: Therefore we can say Family Influence is a prime factor to decide major. They are
very weakly positively correlated, r=0.0036.
Value
p-Value 0.9778
N 60

BUS 302
December 07, 2014
Page 14
FACTOR 5:PEER INFLUENCE
Frequency Analysis:
TABLE 5: FACTOR 5 FREQUENCY T ABLE
Figure 5: Factor 5 Frequency Graph
Interpretation: From the frequency table we are seeing that most of the students
“Agree” that Peer Influence is the prime factor to choose Major, but there are students who
are also “Neutral” and “Highly agree” to this issue. So, we cannot conclude that peer
influence is the prime factor to decide major.
That is why we did the Hypothesis testing, which is given below:
Hypothesis Test:
Value
p-Value 0.209
N 60
Interpretation:
Step 1: Ho: Peer influence is the prime factor to decide Major
Ha: Peer influence is NOT the prime factor to decide Major
Peer Influence Frequency
Highly Agree 8 13%
Agree 28 47%
Neutral 16 27%
Disagree 6 10%
Total 60 100%
0
5
10
15
20
25
30
Highly
Agree
Disagree
Frequency
Peer Influence

BUS 302
December 07, 2014
Page 15
Step 3: We have used Z-test and two tailed test in this hypothesis
Step 4: P value= 0.209
Step 5: P value (0.209) >α/2 (0.025)
Step 6: As the value significance is 0.209, which is more than 0.025, so can consider not
rejecting null hypothesis (Ho).
Step 7: So this means that peer influence is a prime factor to decide Major. They are strongly
positively correlated, r=0.164.
FACTOR 6:FACULTY INFLUENCE
Frequency Analysis:
Interpretation: From the frequency table it is clear that most of the students are
‘Neutral’ to the issue ‘Faculty influence’ is the prime factor to decide major, but there are
more students who ‘Agree’ and ‘Disagree’ to this issue. So, we cannot conclude that faculty
influence is the prime factor to decide major.
Hence, we do the Hypothesis testing, which is as follows:
Faculty influence Frequency %
Highly Agree 7 12%
Agree 17 28%
Neutral 21 35%
Disagree 14 23%
Total 60 100%
0
5
10
15
20
25
Highly
Agree
Disagree
Faculty Influence

BUS 302
December 07, 2014
Page 16
Hypothesis Test:
Value
p-Value 0.249
N 60
Interpretation:
Step 1: Ho: Faculty is the prime factor to decide Major
Ha: Faculty is NOT the prime factor to decide Major
Step 4: P value=0.249
Step 5: P value (0.249) >α/2 (0.025)
Step 6: As the value significance is 0.249, which is more than 0.025, so can consider not
rejecting null hypothesis (Ho).
Step 7: So faculty influence is a prime factor to decide Major. They are strongly positively
correlated, r=0.1510.

BUS 302
December 07, 2014
Page 17
FACTOR 7:OPPORTUNITY TO STUDY ABROAD
Frequency Analysis:
TABLE 7: FACTOR 7 FREQUENCY
TABLE
FIGURE 7: FACTOR 7 FREQUECNY GRAPH
Interpretation:
From the frequency
graph it is clear that 47% of the
students are ‘Agree’ and 37%
“Highly Agree” that future
opportunities to study abroad is
a prime factor while deciding
major.
Hypothesis Test:
Value
p-Value 0.386
α 0.05
N 60
Interpretation:
Step 1: Ho: Opportunity to study abroad is the prime factor to decide Major
Ha: Opportunity to study abroad is NOT the prime factor to decide Major
Opportunity to study abroad Frequency %
Highly Agree 22 37%
Agree 28 47%
Neutral 3 5%
Disagree 6 10%
Total 60 100%
0
5
10
15
20
25
30
Highly Agree Agree Neutral Disagree Highly
Disagree
Opportunity to study abroad

BUS 302
December 07, 2014
Page 18
Step 4: P value= 0.386
Step 5: Here, p-value= 0.386 and α /2= 0.05/2= 0.025
0.386>0.025
P-value> α /2
Step 6: As P-value> α /2 value, We fail to reject the null hypothesis (Ho).
Step 7: We can see that opportunity to study abroad is an important prime factor while
deciding one’ choice of Major. They are strongly positively correlated, r= 0.1138
4. CROSS ANALYSIS:
CROSS FACTOR R-VALUE ANALYSIS
TABLE 8: CROSS ANAYLSIS TABLE
Factors 1 2 3 4 5 6 7
R value 0.350 0.065 0.1525 0.0036 0.1643 0.1510 0.1138
P value 0.0061 0.6188 0.2444 0.9778 0.2095 0.2492 0.3864
Interpretation:
From comparing the r and p values of all the factors, we can see that Factor 6: Peer Influence,
has the highest correlation meaning that it is the prime factor which is most positively
correlated to our research question.
CROSS MAJOR ANALYSIS
FIGURE 8: FACTOR 1 CROSS
FREQUENCY ANALYSIS GRAPH
Interpretation:
While majority of
students do “agree” that “to
gain knowledge” is an
important factor while deciding
one’s choice of major, we see
Marketing Majors (13%)
emphasize on it the most.
0
2
4
6
8
10
12
14
Highly
Agree
Disagree
Frequency
To Gain Knowledge
ACT
FIN
HR
MKT

BUS 302
December 07, 2014
Page 19
Figure 9: FACTOR 2 CROSS
FREQUENCY ANALYSIS
GRAPH
Interpretation:
While majority of students
do “Agree” that “Job
opportunity” is an important
factor while deciding one’s
choice of major, we see
FIGURE 10: FACTOR3 CROSS
FREQUENCY ANALYSIS GRAPH.
Interpretation:
While majority of students
do “Highly Agree” and “Agree”
that “Personal Preference” is an
both Finance Majors and
Figure 11: Factor 4 Cross
FreQuency Analysis Graph.
Interpretation:
While majority of
students are “Neutral” that
“Family Influence” is an
0
5
10
15
Highly
Agree
Disagree
Frequency
Job Opportunity
ACT
FIN
HR
MKT
0
1
2
3
4
5
6
7
8
9
Highly
Agree
Disagree
Frequency
PersonalPreference
ACT
FIN
HR
MKT
0
1
2
3
4
5
6
7
8
9
10
Highly
Agree
Disagree
Frequency
Family Influence
ACT
FIN
HR
MKT

BUS 302
December 07, 2014
Page 20
Interpretation:
While majority of
students are “Neutral” that
“Family Influence” is an
Interpretation:
We see 9% of Finance students
“Agree” that Faculty Influence
is a prime factor, while another
9% of Marketing Majors are
Neutral on it.
FREQUENCY ANALYSIS T ABLE
Interpretation:
We see that 10% of Finance
students “Highly Agree” that
Opportunity to study abroad is a
prime factor, while another 8-9%
of Marketing, Finance and
Human resource Majors “Agree”
on it.
0
2
4
6
8
10
12
Highly
Agree
Disagree
Frequency
Peer Influence
ACT
FIN
HR
MKT
0
2
4
6
8
10
Highly
Agree
Disagree
Frequency
Faculty influence
ACT
FIN
HR
MKT
0
2
4
6
8
10
12
Highly
Agree
Disagree
Frequency
Opportunity to study abroad
ACT
FIN
HR
MKT

BUS 302
December 07, 2014
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5. CONCLUSION & RECOMMENDATION
By studying the frequency analysis, p-values and r-values, we can now say that “Peer
Influence” which is Factor 5 is the prime factor on which most BRAC Business School students
base their choice of Major. And Finance and Marketing Major Students are the ones to do so.
6. APPENDIX
6.1 WORKS CITED
http://onlinelibrary.wiley.com/doi/10.1111/j.1540-4609.2012.00370.x/full
http://iosrjournals.org/iosr-jbm/papers/Vol8-issue2/N082104108.pdf
6.2TABLE OF FIGURES:
FIGURE 1:FACTOR 1 FREQUENCYGRAPH ........................................................................................................................................8
FIGURE 2:FACTOR 2 FREQUENCYGRAPH ........................................................................................................................................9
FIGURE 3:FACTOR 3 FREQUENCY GRAPH.....................................................................................................................................11
FIGURE 7:FACTOR 7 FREQUECNY GRAPH.....................................................................................................................................17
FIGURE 8:FACTOR 1 CROSS FREQUENCYANALYSIS GRAPH............................................................................................................18
FIGURE 9:FACTOR 2 CROSS FREQUENCY ANALYSIS GRAPH..............................................................................................19
FIGURE 10:FACTOR3 CROSS FREQUENCY ANALYSIS GRAPH. ........................................................................................................19
FIGURE 11:FACTOR 4 CROSS FREQUENCY ANALYSIS GRAPH........................................................................................................19
FIGURE 12:FACTOR 5 CROSS FREQUENCY ANALYSIS GRAPH ............................................................................................20
FIGURE 13:FACTOR 6 CROSS FREQUENCY ANALYSIS GRAPH ...........................................................................................20

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December 07, 2014
Page 22
6.3 QUESTIONNAIRE

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December 07, 2014
Page 23
6.4 VALUE CALCULATIONS
A. FACTOR 1:
Regression Statistics
Multiple R 0.350063027
R Square 0.122544123
AdjustedRSquare 0.107415573
StandardError 0.79140505
Observations 60
ANOVA P-value
df SS MS F SignificanceF
Regression 1 5.073326673 5.073327 8.10019 0.006108917
Residual 58 36.32667333 0.626322
Total 59 41.4
B. FACTOR 2:
R Square 0.004294593
AdjustedRSquare
-
0.012872742
Observations 60
ANOVA P-value
Regression 1 0.18008658 0.18008658 0.250160705 0.618854415
Residual 58 41.75324675 0.719883565
Total 59 41.93333333
C. FACTOR 3:
R Square 0.023284408
Observations 60

BUS 302
December 07, 2014
Page 24
ANOVA P-value
Regression 1 1.528621379 1.528621379 1.382690795 0.244447469
Residual 58 64.12137862 1.105541011
Total 59 65.65
D. FACTOR 4:
R Square 1.34395E-05
AdjustedRSquare
-
0.017227708
Observations 60
ANOVA P-value
Regression 1 0.000599401 0.000599 0.0007795 0.977822179
Residual 58 44.5994006 0.768955
Total 59 44.6
E. FACTOR 5:
R Square 0.027014399
AdjustedR
Square 0.010238785
Observations 60
ANOVA P-value
Regression 1 1.478588 1.478588 1.61033741 0.209513405
Residual 58 53.25475 0.918185
Total 59 54.73333

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December 07, 2014
Page 25
F. FACTOR 6:
R Square 0.022825276
Observations 60
ANOVA
Regression 1 1.352397602 1.352397602 1.354789451 0.249208346
Residual 58 57.8976024 0.998234524
Total 59 59.25
G. FACTOR 6:
R Square 0.012961634
AdjustedRSquare
-
0.004056269
Observations 60
ANOVA P-value
Regression 1 0.748318348 0.748318 0.761646974 0.386412387
Residual 58 56.98501499 0.9825
Total 59 57.73333333

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