I am trying to figure this out using a TI-83 calculator.
Based on the data from six students, the regression equation equation relating number of hours of preparation (x) and test score (y) is y=67.3+1.07x. The same data yield r=0.224 and y=75.2. What is the best predicted test score for a student who spent 4 hours preparing for the test?
Given linear correlation coefficient r and the sample size n, determine the critical values of r and use your finding to state whether or not the given r represents a significant linear correlation. Use a significant level of 0.05
r= -.242 n=90
A. Critical Values r=0.217 significant linear correlation
B. Critical Values r= (+ or -) 0.217 no significant linear correlation
C. Critical Values r= (+ or -) 0.207 significant linear correlation
D. Critical Values r- (+ or -) 0.207 no significant linear correlation