# It 403 project part 1

**T 403****Project****Part 1****Total Point: 100****Details of what is needed to complete the mini project as discussed in class****Use SPSS for your computations, copy all relevant tables and graphs to appropriate****places in your document as discuss in class.****1. Exploratory Data Analysis (EDA) : 36 Points****1.1. Identify your quantitative variables****1.2. Create a histogram and describe the shape of the distribution. Interpret and explain in****plain English what the shape means in terms of your variables.****1.3. Describe the center of the distribution, (what is a good measure of center for your****variables) Interpret and explain in plain English****1.4. Interpret and explain in plain English, the Five-number-summary****1.5. Create a boxplot and Normal probability plot. Interpret and explain in plain English your****finding. How is it related to your histogram?****1.6. Calculate the outlier using the 1.5*IQR rule. Interpret and explain in plain English your****finding. Include list of possible outliers and what might be the possible reasons why they****are outlier(s)****1.7. Explain your overall findings and thoughts. 2. Regression Analysis: 43 points****2.1. Identify your Response and predictor variables****2.2. Make a scatterplot with regression line, describe it and explain in plain English, the****form, direction and strength of the relationship of the two variables. Don’t forget to****mention any outliers.****2.3. Calculate correlation and interpret and explain in plain English. Don’t forget to copy****your correlation table over here too.****2.4. Calculate the Coefficient of Determination, R2, interpret and explain in plain English****2.5. Calculate your slope and intercept. Write out the Regression equation. Interpret and****explain in plain English the slope (Hint calculate X = 1) and the intercept (Hint calculate****X = 0).****2.6. Use the Regression equation (Y-hat) to predict (Hint select a value of X from your****observed values and plug it in the Regression equation. Compare your Y and Y-hat, are****1 they close or not. Explain), make sure it does not violate extrapolation. Answer the****question – Do you think this model predict well, explain.****2.7. Calculate residual and create the residual plot. Interpret and explain in plain English the****pattern in your residual plot. Does it violate homoscedasticity? Explain****2.8. In conclusion, will you say your X variable is a good predictor of your Y variable? (Hint:****Explain more about the line that best fit the relationship, your conclusion must reflect****some part of the interpretations of R2, explain what percentage of Y is not explained by****X, give examples of other factors that could help explain Y. Interpret everything in plain****English. 3. Contingency Table (Two-way Table): 21 points****3.1.****3.2.****3.3.****3.4.****3.5.****3.6. Identify your qualitative variables****Create a contingency table by using cross tabulation from SPSS.****Create a clustered bar graph. Interpret and explain in plain English.****Create a two way table without percentages Interpret and explain in plain English.****Create a two way table with percentages. Interpret and explain in plain English.****What are your most interesting findings in general? Explain Submission****All graphs and tables must be copied over first and then interpretations below them. Please****follow the format of the Project sample.****Any limitations of your project must be stated. How would you project be different if you have****access to more info or more data should be included too. 2**

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