stast2 sample exam 3 - 1) a) b) c) d) 2) Describe each of...

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1) Describe each of the following for your data which appears on SX PAGE ( 1 ) a) Exp. Unit : USF Student b) Dependent variable, y: GPA (score, points) c) Ind. Variable, x 1 : TVTIME (x 1 )(Hour) – time spent every day watching TV d) Ind. Qualitative Variable x 2 : x 2 = 1 if ‘Part time’ ; 0 if ‘Full time’ 2) For your project, practically explain what it means to say that “x 1 and x 2 interact” To say that x 1 and x 2 interact means that the relationship between gpa (y) and TVTIME (x 1 ) depends on SCHSTATUS (x 2 ) 3) TRUE or FALSE. According to the graph of predicted y-values for your “best” model, there is a negative linear relationship between y and x 1 at both levels of x 2 . SX PAGE ( ) 4) TRUE or FALSE. There is extreme multicollinearity in your data; consequently, you should drop one of the highly correlated ind. variables from your model. SX PAGE ( 3 ) Variables: unit= USF Student ; y= GPA ; QN-x= TVTIME ; QL-x: 1= part time , 0 = Full time 5) Give each of the following for your test of curvature : a) Hypothesized complete model E(y)= B 0 + B 1 x 1 +B 2 x 1 2 +B 3 x 2 +B 4 x 1 x 2 +B 5 x 1 2 x 2 b) Null hypothesis. H 0 : B 2 =B 5 =0 c) P-value= 0.3619 SX PAGE (5) a-value= 0.05 d) Conclusion a < p-value ==> Fail to reject H 0 insufficient evidence (a=.05) of curvature relationg gpa(y) to TVTIME (x
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This note was uploaded on 05/15/2011 for the course QMB 3200 taught by Professor Sincich during the Spring '11 term at University of South Florida.

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stast2 sample exam 3 - 1) a) b) c) d) 2) Describe each of...

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