Question

I have tried .245, for the p value and it is still incorrect. Could there be an explanation upon how to get the p value?

You wish to determine if there is a positive linear correlation between the two variables at a significance level of a 0.001. You have the following bivariate data set. es 96.8 67.2. 83.8 51.6 66.7 69.2 74 83.1 88 75.4 86.4 87.4 85.3 у 68.6 49.6 43 50.3 52 60.8 54 58.6 46 50.3 49.5 50.2 54.7 What is the correlation coefficient for this data set? - 210 To find the p-value for a correlation coefficient, you need to convert to a t-score: r? (n - 2) 1 - ? This t-score is from a t-distribution with n-2 degrees of freedom. What is the p-value for this correlation coefficient? p-value - 244 х Your final conclusion is that... There is insufficient sample evidence to support the claim the there is a positive correlation between the two variables. There is sufficient sample evidence to support the claim that there is a statistically significant positive correlation between the two variables.

Answer 1

H:p=0; H1 :p> run-2 (0.210) V13-2 t= = 0.712 V1-22 V1-0.2102 p-value: The one tailed p-value for t = 0.712 with df =n-2=13–2 = 11 is 0.2456 -0.246, by r code pt() Notice: If it is still incorrect then try 0.491(tvo tailed)