ASSIGNMENT OBJECTIVES: This assignment is designed to give students an opportunity to: (I) Practice identifying variables and inferential statistical analyses needed to answer given questions. (II) Practice interpreting basic descriptive and inferential statistics. (III) Practice running advanced statistical analyses. THE ASSIGNMENT: For this assignment you will be using SPSS to analyze two data sets provided by the Professor. You will need to run the appropriate statistical tests to answer the questions provided below. Please type up your answers to the questions in a word document; you can be succinct, but you need to provide statistical evidence to support your answers. You will submit the word document and your complete SPSS output file to Blackboard; expect point deduction if this requirement is not met. Please note that this is an individual assignment and should reflect your own efforts to conduct analyses and interpret results. DATA SET: SPSS II_VACATION PACKAGE DATA2 VARIABLES: 1. Sights - How important is a well-structured itinerary that covers all major sights in the shortest amount of time? o Slider scale ranging from "0 = Not at all important" to "10 = Extremely important" 2. Convenience - How important is the convenience factor of booking an all-inclusive vacation? o Slider scale ranging from "0 = Not at all important" to "10 = Extremely important" 3. Sec_All_Incl - How secure would you feel on an all-inclusive vacation? o Slider scale ranging from "0 = Not at all secure" to "10 = Extremely secure" 4. Sec_Indiv - How secure would you feel on an individually planned vacation? o Slider scale ranging from "0 = Not at all secure" to "10 = Extremely secure" 5. Own_Itin - Designing my own travel itinerary is important to me. o Ranging on a scale from "1 = Not at all important," "2 = Somewhat important," to "3 = Very important" 6. Flex_Itin - Having a flexible travel itinerary is important to me. o Ranging on a scale from "1 = Not at all important," "2 = Somewhat important," to "3 = Very important" 7. Trip_Length_All_Incl - How many days would you go on an all-inclusive trip? o Slider scale ranging from 0-20 days 8. Trip_Length_Indiv - How many days would you go on an individually planned trip? o Slider scale ranging from 0-20 days 9. Prior_Italy - Have you every vacationed in Italy before? o "1 = No" o "2 = Yes" 10. Abroad - Have you every vacationed abroad (i.e. outside of the USA)? o "1 = No" o "2 = Yes" 11. Int_Vaca - How many international vacations (i.e. outside of the USA) have you taken within the past 10 years? o "1 = 4 or less vacations" o "2 = 5 or more vacations" 12. Gender - What is your gender? o "1 = Male" o "2 = Female" 13. Age - What is your age? o "1 = 18 to 34" o "2 = 35 to 54" o "3 = 55+" 14. Marital - What is your current marital status? o "1 = Single" o "2 = Living in a partnership and Married" o "3 = Divorced" 15. Income - What is your current household income? o "1 = Below $30,000" o "2 = $31,000 to $60,000" o "3 = Above $61,000" DATA SET: SPSS II_ALBUM SALES VARIABLES: 1. Adverts - Advertising Budget o In thousands of British Pounds 2. Sales - Album Sales o In thousands 3. Airplay - Number of plays on radio o Actual number of plays 4. Attract - Attractiveness of band o Slider scale ranging from "0 = Not at all attractive" to "10 = Extremely attractive" QUESTIONS: 1) Review the SPSS output below and answer the hypothesis by reporting the appropriate results: (1.5 point) Does height positively predict weight? 2) Review the SPSS output below and answer the hypothesis by reporting the appropriate results: (1.5 point) Does height and sex predict weight? 3) Conduct a one-way ANOVA for the following variables: Importance of convenience of booking all-inclusive with marital (3 points) Importance of convenience of booking all-inclusive with age (2 points) Importance of well-structured itinerary with income (3 points) Importance of well-structured itinerary with age (2 points) For both ANOVAs, write up the results by including the following where applicable: 1) nature of both variables, 2) is the overall relationship between both variables significant, 3) which groups are significant, 4) what are the implications of the results. 4) Correlation: Is there a relationship between how secure you feel on an individually planned vacation and how many days you would go on an individually planned trip? (1 points) Why is a correlation the correct statistical test to answer this question? (1 point) 5) Assess the following hypothesis: (3 points) Ha: Bigger advertising budget leads to increased album sales. Run a regression and report the results. Report the regression equation - what happens if the advertising budget is set to $175? What are the implications of the results? 6) Assess the following hypothesis: (3 points) Ha: More number of plays on the radio and greater attractiveness of the band positively impacts album sales. Run a regression and report the results. Make sure you check for multicollinearity issues. What are the implications of the results? Which variable is the biggest predictor of album sales?