4. Use the given data to find the equation of the regression line. X 3 5 7 15 16 Y 8 11 7 14 20 a. What is the regression equation? (1 point) b. Using the regression equation, what is the best predicted value for Y=10? (1 point) 5. Find the best predicted systolic blood pressure in the left arm given that the systolic blood pressure in the right arm is 100 mm HG. Identify the line of best fit. Right Arm 102 101 94 79 79 Left Arm 175 169 182 146 144 a. What is the line of best fit? (1 point) b. What is the predicted systolic blood pressure of the left arm if the right arm is 100 mm HG? (1 point) 6. Find a set of paired quantitative data related to your major (or field of study) and determine if there is correlation between the paired data. To obtain full credit, you must include: A reference to where you obtained the data (I should be able to find the data) (1 point) A graph, using technology, of your data (1 point) A mathematical determination of whether linear correlation for this data is present at the 5% level of significance, using the process outlined in question #1 of this lab (1 point) A paragraph (100-200 words) explaining why you chose this set of data and why it is important to know if the data are correlated (1 point)