What conclusions can you reach from this correlationanalysis

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Researchers from the Lubin School of Business atPlace University in New York City conducted a study onInternet-Supported courses. In one part of the study, fourinternet-supported courses. Four numerical variables werecollected on 108 students in an introductry management course thatmet once a week for an entire semester. One variablecollected was Hit consistency. To measure hit consistency,the researchers did the followings. If a student didnot visit the internet site between classes, the studentwas  given a zero for that time period. If thestudent visited the Internet site one or more times betweenclasses, the student was given a one for that time period. Since there were 13 time periods, a student score on hitconsistency could range from 0 to 13. The other threevariables inckuded the student's course average, the studentcumulative GPA , and total number of hits the student had on theinternet site supporting the course. The following tablegives the correlation coeffiecient for all pairs ofvariables. Note that correlations marked with an *aresstatistically significant using α=0.01
  
   Variables                                                        Correlation
     Course Average, CumulativeGPA                      0.72*
     Course Average. TotalHits                                0.08
     Course Average, HitConsistency                        0.37*
     Cumulative GPA, TotalHits                                0.12
     Cumulative GPA, HitConsistency                      0.32*
     Total Hits, HitsConsistency                               0.64*
a. What conclusions can you reach from this correlationanalysis
b. Are you surprised by the results or are theyconsistent with your own observations andexperiences.

Reference no: EM13338080

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