Annual high temperatures in a certain location have been tracked for several years. Let XX represent the year and YY the high temperature. Based on the data shown below, calculate the correlation coefficient (to three decimal places) between XX and YY. Use your calculator! x y 1 22.22 2 19.5 3 18.08 4 18.16 5 17.54 6 16.12 7 12.1 8 12.08 9 10.86 10 8.74 11 7.82 12 4.7 r=r=

A random sample of college students was surveyed about how they spend their time each week.  The scatterplot below displays the relationship between the number of hours each student typically works per week at a part- or full-time job and the number of hours of television each student typically watches per week.  The correlation between these variables is r = –0.63, and the equation we would use to predict hours spent watching TV based on hours spent working is as follows:             Predicted hours spent watching TV = 17.21 – 0.23(hours spent working) Since we are using hours spent working to help us predict hours spent watching TV, we’d call hours spent working a(n) __________________ variable and hours spent watching TV a(n) __________________ variable. The correlation coefficient, along with what we see in the scatterplot, tells us that the relationship between the variables has a direction that is _________________ and a strength that is ______________________. According to the…

Annual high temperatures in a certain location have been tracked for several years. Let XX represent the year and YY the high temperature. Based on the data shown below, calculate the correlation coefficient (to three decimal places) between XX and YY. Use your calculator! x y 5 13.15 6 13.1 7 13.75 8 14.6 9 13.85 10 14.3 11 18.25 12 15.9 13 19.55 14 18.2 15 18.95 16 21 r=r=

Annual high temperatures in a certain location have been tracked for several years. Let XX represent the year and YY the high temperature. Based on the data shown below, calculate the correlation coefficient (to three decimal places) between XX and YY. Use your calculator! x y 3 14.3 4 13.89 5 15.58 6 14.87 7 12.66 8 10.15 9 9.54 10 8.13 11 11.42 12 9.81 13 6.6 r=

Annual high temperatures in a certain location have been tracked for several years. Let X represent the year and Ý the high temperature. Based on the data shown below, calculate the correlation coefficient (to three decimal places) between X and Y. Use your calculator! y 3 24.31 4 21.82 22.63 6 22.54 7 21.35 8. 20.06 6. 18.47 10 18.98 11 18.29 12 16.3

Which number below is representative of the largest correlation? r = -0.75 r = .05 r = -0.45 r = 0.65

Annual high temperatures in a certain location have been tracked for several years. Let XX represent the year and YY the high temperature. Based on the data shown below, calculate the correlation coefficient (to three decimal places) between XX and YY. Use calculator/Excel! x y 3 22.92 4 23.3 5 19.68 6 17.96 7 18.34 8 18.22 9 16.2 10 14.48 11 11.56 12 11.04 13 11.52 14 10.2 r=r=

Annual high temperatures in a certain location have been tracked for several years. Let X represent the year and Y the high temperature. Based on the data shown below, calculate the correlation coefficient (to three decimal places) between X and Y. Use your calculator! y 4 42.95 41.28 40.01 37.04 35.27 33.6 33.53 9. 10 11 30.76 12 30.09 13 26.12 25.15 14 15 25.18 16 24.31 17 20.94 18 22.27 19 20 +nlo N8 901 2/34 59u

Annual high temperatures in a certain location have been tracked for several years. Let XX represent the year and YY the high temperature. Based on the data shown below, calculate the correlation coefficient (to three decimal places) between XX and YY. Use your calculator! x y 4 27.26 5 28.55 6 27.94 7 30.23 8 35.62 9 37.91 10 39.5 11 38.59 12 41.88 13 44.57 r=r=

Annual high temperatures in a certain location have been tracked for several years. Let X represent the year and Y the high temperature. Based on the data shown below, calculate the correlation coefficient (to three decimal places) between X and Y. Use your calculator! x2345678910111213141516 y8.569.7414.2216.418.6821.6624.3423.6227.230.9833.4634.4437.924140.08 r=