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Discussion 3: Bivariate Data At 72 72 For all Discussion posts, use complete sentences, proper grammar, and correct spelling. Remember the rules of Netiquette! (Click

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Discussion 3: Bivariate Data At 72 72 For all Discussion posts, use complete sentences, proper grammar, and correct spelling. Remember the rules of Netiquette! (Click on the Netiquette link to read the rules.) All content must be school appropriate. This discussion covers Chapter 4. It is multiple steps, so please complete Step 1 by June 15 so that you and your classmates have sufficient time to complete Steps 2 and 3. Directions: Step 1: Post a bivariate data set and scenario with at least six subjects. You may make up the data (but ensure that it is reasonable), or find real-world data from a credible source. Example: The data in the table below represents the club-head speed (in miles per hour) of a golf club and the distance (in yards) that the ball travels. Club-head Distance Speed (mph) (yards) 100 257 102 264 103 274 101 266 105 277 100 263 99 258 105 275 Source: Paul Stephenson, student at Joliet Junior College. Step 2: Create a scatterplot and find the correlation coefficient for a classmate's Step 1 data. Find a classmate's data set which is NOT PLOTTED OR RESERVED YET, and "reserve" the problem by replying to the post with something like "Connie is solving Step 2 of this problem." This ensures that someone else does not solve the problem that you are working on. You may need to upload your scatterplot as an image, whether graphed on paper, your calculator, or using Desmos. Step 3: For a different problem than your Step 2, find the critical value and state whether the variables have a linear relationship using your classmate's correlation coefficient from Step 2 (whether it is correct or incorrect). Once again, I suggest reserving a problem by posting something like "Connie is solving Step 3 of this problem" so that a classmate does not solve the problem while you are still working. I will grade according to the time stamps if

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