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. O A. B. O c. OD. 107 107 107 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. Find the equation for predicting time (in hours) from miles (in thousands). X Flight data Predicted Time = 0.79 + ( 1.87 ) Thousand Miles (Round to two decimal places as needed.) Interpret the slope in the context of the problem. Select the correct choice below and fill in the answer box to complete your choice. City Distance Time Round to two decimal places as needed.) (1000s of miles) (hours) 1.113 2.88 O A. For every additional thousand miles, on average, the time goes up by hours. 2.862 5.94 O B. For every additional hour, on average, the number of miles goes up by thousand. 3.351 7.31 YOUAWN- 1.711 4.21 2.385 4.95 1.815 4.21 0.245 1.23