## Your Corrlation ‘Table’ Has 2 Numbers In The Inner Cells.

C1 C2 height shoe sizeC2 (shoe size) .892632 <0.0001 2 digit number .396579 .321682 .1433 .2423Cell contents: Pearson correlation P-ValueYour corrlation 'table' has 2 numbers in the inner cells. The top number is the correlation (or the r value). The bottom number is the p-value of that correlation. So in the image above, 0.892632 is the r value for C2 and C1, and 0.0001 is the p-value of that correlation.Is there a relationship between: height and shoe size, height and random number, shoe size and random number?Determine if your numbers are significant. Remember df = n - 2Is there a way, from this, to tell anything about height *and* shoe size *and* random number?What does the value of the correlation coefficient tell you? What does the p-value tell you? (Remember, this is the same p-value we've just discussed in hypothesis testing!)

## Your corrlation ‘table’ has 2 numbers in the inner cells.

Question
C1 C2
height shoe size
C2 (shoe size) .892632
<0.0001 2 digit number .396579 .321682 .1433 .2423 Cell contents: Pearson correlation P-Value Your corrlation 'table' has 2 numbers in the inner cells. The top number is the correlation (or the r value). The bottom number is the p-value of that correlation. So in the image above, 0.892632 is the r value for C2 and C1, and 0.0001 is the p-value of that correlation. Is there a relationship between: height and shoe size; height and random number; shoe size and random number? Determine if your numbers are significant. Remember df = n - 2 Is there a way, from this, to tell anything about height *and* shoe size *and* random number? What does the value of the correlation coefficient tell you? What does the p-value tell you? (Remember, this is the same p-value we've just discussed in hypothesis testing!)