Reference no: EM132651159
MP122 Analytical and Statistical Techniques - Wentworth Institute
Assessment: Individual Report
Part 1: Variable List
(a) Using the variables listed in the table above, Describe each variable.
(b) State for each variable whether it is qualitative or quantitative; if it is qualitative, state whether it is nominal or ordinal, and if it is quantitative, state whether it is discrete or continuous.
Part 2: Histogram
Create a histogram showing the distribution of marks and study hours. Find the 5-number summary of the distribution of marks and study hours. Comment on the shape of the distribution: is it symmetrical? If it is not, is it positively or negatively skewed? Are there any outliers present? If so, are they of particular interest?
Part 3: Regression Analysis
(a) Run a regression of Quiz results on EQR. Formulate a hypothesis test to determine if EQR is a significant factor in determining quiz results.
(b) Interpret the above regression
(c) Run a regression of Quiz results on EQR, study hours, age and sex. Is this a better or worse model. Explain
(d) Are all variables significant determinants? Explain
(e) Interpret the regression from part c
(f) Run a regression of Quiz results on all the listed variables. Are they all statistically significant? Determine the best model to help predict quiz results.
Part 4: Regression Analysis
The lecturer is interested to see what variables, if any will help determine the number of hours spent on studying statistics. Test and find any regression models that can help determine the number of hours spent on studying. (Hint run Study hrs. on...)
(a) On average, how much do males study more(less) than females?
(b) Do people who enjoy the Big Bang Theory impact on the number of hours studies?
(c) Is age a determining factor on the number of hours studied?
(d) Do students with a stronger math background study more or less? Also state how much more or less
Attachment:- Analytical and Statistical Techniques.rar
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