Please help me solve all the problems, I will adopt your answers at the first time
QUESTION YOUR ANSWER 1. If you want to study the relationship between two quantitative variables, which graph will you create? 2. If you want to explore if there is a linear association between two quantitative variables which numerical quantity will you compute to comment on the strength of linear association between the two variables? Write the name and formula. 3a. What are the possible values the correlation coefficient r can be? 3b. What is the unit, if any, of the correlation coefficient r? 3c. If r = 1 what do you conclude about the relationship between the two variables involved in the com-utation of r? 5. What is a lurking variable? Describe the direction (positive, negative, or no association) of the association between two variables if the scatterplot looks like the ones below. 00 - 1 . ... o I 0.. _.' '33. I. . . III \"5:\" ,-_. Q... on. ...'.~.-.-.3.- ..0 II 315.31" - .. ..I...-l . . , . u . . O '0 Describe the form (linear, negative, curvilinear in one direction, curves up and down) of the scatterplot between two variables if they look like the one below. II *- .'I I: In I I {I I I. I I ' II I I I I .I . I II ' II I I II IIIII What can you conclude about the relationship between Women cloth cost and food cost using the data plot below? That is, describe this plot specifying the direction and form of the scatterplot. FYI: r = 0.614 1000 900 700 Food Costs ($ 600 500 - 400 300 200 200 400 600 800 1000 1200 Cost of Women's Clothes How do you describe the association between Height (in) and Weight (lb) using the scatterplot below. Circle any outlier point on the graph. 250+ 200 Weight (Ib) 100 65 70 75 Height (in.) When blood pressure is measured, it is reported as two values: systolic blood pressure and diastolic blood pressure. How are these variables related to each other? Do they tend to be both high or both low? How strongly associated are they? FYI: r=.792. 300 250 Systolic BP (mm Hg 200 2 : 150 75 100 125 150 Diastolic BP (mm Hg)