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Score on last try: 0 of 15 pts. See Details for more. > Next question Based on the data shown below, calculate the corre

Posted: Tue Jul 05, 2022 9:19 am
by answerhappygod
Score On Last Try 0 Of 15 Pts See Details For More Next Question Based On The Data Shown Below Calculate The Corre 1
Score On Last Try 0 Of 15 Pts See Details For More Next Question Based On The Data Shown Below Calculate The Corre 1 (40.68 KiB) Viewed 11 times
Score On Last Try 0 Of 15 Pts See Details For More Next Question Based On The Data Shown Below Calculate The Corre 2
Score On Last Try 0 Of 15 Pts See Details For More Next Question Based On The Data Shown Below Calculate The Corre 2 (67.7 KiB) Viewed 11 times
Score On Last Try 0 Of 15 Pts See Details For More Next Question Based On The Data Shown Below Calculate The Corre 3
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Score on last try: 0 of 15 pts. See Details for more. > Next question Based on the data shown below, calculate the correlation coefficient (to three decimal places) X 4 56 7 8 y 24.06 22.52 20.08 20.94 21.6 0.672 Get a similar question You can retry this question below Submit Question X Question Help: Message instructor M

Linear Regression Below is data collected on how long Statistics students study per week and the percentage of students who pass the course for the given amount of study time: Study Time in hours per week (a): 0 2 6 9 % of students who pass Statistics (y): 20 50 80 95 a.) Would you say the data has a Positive correlation or Negative correlation? O Negative Positive b.) Compute Σχ. Σy. Σα”, Σxy Σχ = 17 | Ly = | 245 Ez² = 121 V Exy = 1435 c.) Find the slope and the y-intercept of the best fit regression line. (round to 2 decimal places on slope and y-int) y = mx + b y= 26,92 XX+4.5 63 X d.) Based on your answer from part c, what would you estimate the % completion rate is for students who study for 4.5 hours per week? Round to nearest % Question Help: Message Instructor Submit Question

Score on last try: 14.29 of 20 pts. See Detalls for more. Get a similar question You can retry this question below Linear Regression Below is data on how many absences a student has each semester in a Statistics class and their overall average for the class: Absences for semester (2): 0 2 5 8 Overall grade (y): 90 75 60 45 a.) Would you say the data has a Positive correlation or Negative correlation? ⒸNegative O Positive b.) Compute Σx, Σy, Σ., Σαγ ΣΧ = 15 ✓zy = 270 y = 5.51 Ex² =93 c.) Find the slope and the y-intercept of the best fit regression line. (round to 2 decimal places on slope and y-int) y=mx + b Xx+88.16 – | Exy = | 810 Round to nearest % d.) Based on your answer from part c, what would you estimate the Overall average is for students who are absent 6 days in a semester?