At 1:00 pm, Ryan realizes his computer has been unplugged. He needs to work on the computer in 16% Tue 1:04 PM his car and wants it to be fully charged. The image on the right represents the time it took for the 28% (43 Tue 1:17 PM laptop to charge. 37% [4] Tue 1:27 PM 51% (4 Tue 1:51 PM 69% [43 Tue 2:25 PM 81% [43 Tue 2:42 PM 1. When can Ryan expect his laptop to be fully charged? Do a quick estimate and explain your reasoning. 2. He does a quick calculation at 1:17 and estimates the computer charges 1% a minute. He estimates it will be fully charged by 2:30. Was he right? 3. Was his prediction over or under? 4. Create a table of values for the data points. You first need to convert the minutes to decimals. (Hint: to convert 1:04 pm to decimal, you would take 1 + 4/60, which is 1.07). 5. Graph all the data points from your table. Use desmos.com to graph the points OR draw an original graph using graph paper. 6. Calculate the line of best fit for your graph. Use the regression tool on desmos. com to get the most accurate line of best fit. Write the line of best fit in the form y=mx+b. Based on your line of best fit, when will the computer be fully charged? 7. Was your first estimate correct? Why do you think Ryan's first estimate was not accurate