Question 1 1 pts True or False: The identified point has a positive residual. 60 50 Tree Height 40 30 20 7 8 10 11 12 13 Trunk Diamet True O Falsel: Question 2 2 pts Which residual plot shows that a linear model would be appropriate for the data? (b) Which graph shows the residual plot for the same data set? y O 0.5 Residual 2 4 6 CO 10 O 0.5 Residual 2 6 Co 10 O None of these O 0.5 Residual 2 6 8 10The relationship between height of a student (in inches) and number of steps required to walk the length of a school hallway, is summarized with the regression line E =113.6O.921x. For this model, technology gives and r2=0.399. Interpret the value of r2. 0 About 39.9% of number of steps required to walk the length of a school hallway is accounted for by the least-squares regression line with x = height of a student (in inches). 0 About 39.9% of the variability in height of a student (in inches) is accounted for by the least-squares regression line with x = number of steps required to walk the length of a school hallway. E] 0 About 39.9% of the variability in number of steps required to walk the length of a school hallway is accounted for by the least-squares regression line with x = height of a student (in inches). 0 There is a weak positive linear relationship between number of steps required to walk the length of a school hallway and height of a student (in inches). E] l: Question 5 2.5 pts Jackson sent an email to all of his friends. In the email he asked the reader to forward the email to all of their contacts. Each day he documents the total number of people who have received the email. He plotted the points below. He found an increasing convex exponential model that matches his data to be y = 6(2.2)"\". Calculate the residual if on day 3 the actual number of emails was 65. (Round to the 3 decimal places)