1. You are interested in examining whether the variables shown here in brackets [ years of age (age), gender (sex),hours worked per week (hrs1), years of education (educ), years of education for mother (maeduc), years of education for father (paeduc), and marital status (marital) are predictors of individual income (rincmdol) ]. Complete the following steps to conduct this analysis. (use profile.sav). Note: you have to create dummy variables for marital and sex as they are categorical variables. Please learn to create dummies in multiple regression by yourself.

1. Create a scatterplot matrix to examine the linearity (1 pt) What is your conclusion? (1 pt)
2. Check assumptions of normality and homoscedasticity using residual plots. (2 pts)
3. How about multicollinearity? Explain. (1 pt)
4. What are the research hypotheses? (2 pts)
5. Does the model significantly predict rincmdol? Explain. (2 pts)
6. Which variables significantly predict rincmdol? (2 pts) Which variable is the best predictor of the DV (rincmdol)? (1 pt)
7. What percentage of variance in rincmdol is explained by the model? (1 pt)
8. Write the regression equations for both unstandardized and standardized variables and explain them respectively. (4 pts)
9. Explain why the variables of mother’s and father’s education are not significant predictors of rincmdol? (1 pt)

2. Use your practice data set 2 (Hwdata2.sav). In the population from which the sample was drawn, 50% of employees are technical, 20% are clerical, and 30% are professional. Determine whether or not the sample drawn conforms to these values. Present necessary output from spss (2 pts) and complete the write-ups. (2 pts)

3. Suppose we take children at three different age levels (3, 4, and 5 years) and teach them one of three different memory strategies (S1, S2 or S3). Then we give them a free recall memory test for 50 items, with the following results:

Conduct a statistical analysis with necessary procedures: outlier screening (1 pt), assumption checks (1 pt), research hypotheses (2 pts), overall test (2 pts), follow-up tests (4 pts), post-hoc tests (2 pts). Please write up the complete results as well (2 pts).

4. A researcher wants to know if individuals are more likely to help in an emergency when they are indoors or when they are outdoors. Of 28 participants who were outdoors, 19 helped and 9 did not. Of 23 participants who were indoors, 8 helped and 15 did not. Please find out if helping behavior is affected by the environment. Present necessary outputs from spss (2 pts) and complete the write-ups (2 pts). You have to prepare for your own data set to perform the statistical analysis

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