The accompanying table gives the distance from a particular city to seven other cities (in thousands of miles) and gives the time for one randomly chosen, commercial airplane to make that flight. Do a complete regression analysis that includes a scatterplot with the line, interprets the slope and intercept, and predicts how much time a nonstop flight from this city would take to another city that is located 3000 miles away. Click the icon to view the distances and flight times. Draw a scatterplot for the round-trip flight data. Be sure that distance is the x-variable and time is the y-variable, because time is being predicted from distance. Graph the best-fit line using technology. Choose the correct scatterplot below. A. B. O C. O D. 10- 10- 10- 10- Time (hours) Time (hours) Time (hours) Time (hours) 3.5 3.5 3.5 3.5 Distance (1000s of mi) Distance (1000s of mi) Distance (1000s of mi) Distance (1000s of mi) Does it seem that the trend is linear, or is there a noticeable curve? The linear model is appropriate because there is a linear trend in the data. X Flight data Find the equation for predicting time (in hours) from miles (in thousands). Predicted Time = + ( Thousand Miles (Round to two decimal places as needed.) City Distance Time (1000s of miles) (hours) 1.113 2.88 2.862 5.94 3.351 7.31 JOUAWN- 1.711 4.21 2.385 4.95 1.815 4.21 0.245 1.23