A team of researchers conducted a study to investigate if agreeableness and extraversion were predictors of health-related risky behaviours. Hierarchical regression analysis were carried out on sample of 304 service industry employees using SPSS. The team of researchers controlled for the gender of the student and age in their analysis.

1. Write- up the results of this analysis in APA, interpreting the coefficients, describing the magnitude and direction of their impact on the dependent variable, and their significance level.

2. Explain the relevance of the R-square change measure and how it is interpreted.

3. Define the problem of multicollinearity in regression model. What are the consequences of ignoring multicollinerity in a regression model? Is it present in the model above?

Model Summary Change Statistics Adjusted R Std. Error of the R Square Model R R Square Square Estimate Change F Change df1 405a 164 159 5.26199 164 29.568 2 2 456b .208 . 197 5.13935 044 8.269 2 Model Summary Change Statistics Model df2 Sig. F Change 1 301 000 2 299 00 a. Predictors: (Constant), Age of participant, Gender of Participant b. Predictors: (Constant), Age of participant, Gender of Participant, Extraversion, Agreeableness ANOVAa Model Sum of Squares df Mean Square F Sig. 1 Regression 1637.410 2 818.705 29.568 000b Residual 8334.261 301 27.689 Total 9971.671 303 2 Regression 2074.211 4 518.553 19.633 000c Residual 7897.460 299 26.413 Total 9971.671 303 a. Dependent Variable: Health_Related_Risk_Behaviours b. Predictors: (Constant), Age of participant, Gender of Participant c. Predictors: (Constant), Age of participant, Gender of Participant, Extraversion, Agreeableness Coefficientsa Standardized Unstandardized Coefficients Coefficients Model B Std. Error Beta Sig. 1 (Constant) 27.677 1.303 21.241 000 Gender of Participant -1.651 634 -.141 -2.603 010 Age of participant -.214 033 -.350 6.480 000 2 Constant) 27.217 1.561 17.437 000