Chapter 9, Section 1, Exercise 015 Student Survey: Correlation Matrix A correlat
ID: 3312924 • Letter: C
Question
Chapter 9, Section 1, Exercise 015 Student Survey: Correlation Matrix A correlation matrix allows us to see lots of correlations at once, between many pairs of variables. A correlation matrix for several variables (Exercise, TV, Height Weight, and GPA) in the StudentSurvey dataset is given. For any pair of variables (indicated by the row and the column), we are given two values: the correlation as the top number and the p-value for a two-tail test of the correlation right beneath it. Correlations: Exercise, TV, Height, Weight, GPA Exercise 0.010 0.852 TV Height Weight TV Height 0.118 0.181 0.026 0.001 Weight 0.118 0.165 0.619 0.026 0.002 0.000 -0.159-0.129 -0.116-0.217 0.003 0.017 0.033 0.000 GPA Cell Contents: Pearson correlation p-ValueExplanation / Answer
A)Positive: Weight and Height correlation value= 0.619
P-value= 0
B)Negative: GPA and Weight correlation value= -0.217
P-value= 0
C)At 5% significance level, not convincing linear association:
If p-value <0.05, then we conclude that there is significant relationship exist for linear association.
If P-value > 0.05, we conclude that there is no significant relationship exists for linearity.
TV Vs Exercise, P-value= 0.852
Answer: 0ne pair