Before you begin the assignment:Read Chapter 8 in yourDiscovering StaTsTcs Using IBM SPSS StaTsTcstextbook.
Before you begin the assignment:Read Chapter 8 in yourDiscovering StaTsTcs Using IBM SPSS StaTsTcstextbook.Review the video tutorial for an overview of conducTng mulTple regression in SPSS.Download and open the Popularity SPSS data set.An overview of the data set:±his data set represents hypotheTcal data from a study that examined how well some core personalitytraits predict a person’s level of popularity. Personality was measured using the “Big 5,” which is a verycommonly used measure of personality. In fact, a Big 5 personality scale was included in the Module ±wodiscussion.Here is some more informaTon about the variables in this hypotheTcal data set:Number:±his is the ID number of the parTcipantSex:ParTcipants’ sex, with “1” standing for male and “2” standing for femaleAge:College year of the parTcipant, with “1” standing for freshman, “2” standing forsophomore, etc.Popularity:Popularity measured with a quesTonnaire that could range from 0 to 100, withhigher numbers indicaTng more popularityExtroversion:A Big 5 trait indicaTng level of sociability. Scores range from 1 to 5, with highnumbers indicaTng extroverted and low numbers indicaTng introvertedAgreeableness:A Big 5 trait indicaTng level of interpersonal warmth and friendliness. Scoresrange from 1 to 5, with high numbers indicaTng warmth and low numbers indicaTng coldnesstowards othersConscienTousness:A Big 5 trait indicaTng level of self-control and responsibility. Scores rangefrom 1 to 5, with high numbers indicaTng high conscienTousness and low numbers indicaTnglow conscienTousnessNeuroTcism:A Big 5 trait indicaTng level of anxiety and emoTonal stability. Scores range from 1to 5, with high numbers indicaTng high neuroTcism and low numbers indicaTng low neuroTcismOpenness:A Big 5 trait indicaTng level of willingness to try new things and creaTvity. Scoresrange from 1 to 5, with high numbers indicaTng high open-mindedness and low numbersindicaTng closed-mindednessQuesTons:1) Describe in your own words what type of research situaTons call for a researcher to use a mulTpleregression analysis.±ype answer below: