Squaring the Pearson correlation coefficient (r2) tells us that

Research was conducted on the amount of training for 5K race and the time a contestant took to run the race. The researcher recorded the number of miles a contestant ran during the last month of training and the time it took the contestant to complete the 5K. The results are below. Miles Trained 65 78 90 91 104 112 Time (Minutes) 23 26 34 39 42 50 (a) Give the correlation coefficient. Round to one decimal place. (b) Use technology to write the regression equation that predicts the time it takes a contestant to complete the race by using the miles trained as the explanatory variable. Complete the missing parts of the equation below, rounding values to one decimal place. ý (c) Interpret the y-intercept in the context of this scenario. O Each additional mile of training reduces the time needed to complete the 5K by 0.6 minutes. A contestant who has not trained at all in the last month can expect to complete the 5K in 0.6 minutes. X O A contestant who has not trained at all in the last…

In correlational research the Null hypothesis states that Choose one the correlation coefficient is 0 or The correlation is significantly different between groups or the correlation coefficient is 1.00 or -1.00

Interpret the Correlation Coefficient -0.9 It is Strong Positive It is Weak Negative It is Weak Positive It is Strong Negative