Question 10 Linear Regression Below is data collected on how long Statistics students study per week and the percentage

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Question 10 Linear Regression Below is data collected on how long Statistics students study per week and the percentage

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Question 10 Linear Regression Below Is Data Collected On How Long Statistics Students Study Per Week And The Percentage 1
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Question 10 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 (x): 0 25 8 % of students who pass Statistics (y): 10 50 70 95 a.) Would you say the data has a Positive correlation or Negative correlation? ⒸNegative O Positive [x = < b.) Compute {x, Ey, [x², Exy Ly = c.) Find the slope and the y-Intercept of the best fit regression line. (round to 2 decimal places on slope and y-int) 1= mx + b y= y= X+ 14.29/20 pts 9918 Detall [x² Round to nearest % Exy= 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?

Question 11 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 (a): 025 9 Overall grade (y): 95 75 70 50 b.) Compute Σx, Σy, Σα”, Σxy < > a.) Would you say the data has a Positive correlation or Negative correlation? O Positive O Negative [x = y= Ey= Exy= 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 x+ 17.14/20 pts 99 18 Detalls [22] Round to nearest % = / d.) Based on your answer from part c, what would you estimate the Overall average is for students who are absent 5 days in a semester?

Question 8 X 2 y 24.4 Based on the data shown below, calculate the correlation coefficient (to three decimal places) 21.66 18.12 < 3 4 5 16.28 6 13.64 7 13.4 > 0/15 pts 9918 Deta
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