The graph shows the total number of COVID-19 cases in the UK from February 23 to April 17 in 2020. The dots or stars represent the actual data points, and the line is an exponential fit for the data points. Each value in the x-axis shows days since COVID cases started to be measured in the UK, with “day 1” representing February 23. The y-axis shows the total number of cases per day. Which of the following correctly uses the graph to determine the best estimate for the number of COVID-19 cases in the UK on day 20?

(1 point)
Responses

12,000 cases
12,000 cases

10,000 cases
10,000 cases

15,000 cases
15,000 cases

2,000 cases
2,000 cases

1 answer

To determine the best estimate for the number of COVID-19 cases in the UK on day 20 using the exponential fit line from the graph, you would need to look at where day 20 falls on the x-axis and see what the corresponding value is on the y-axis at that point.

Based on the typical growth patterns in such graphs and the choices provided, it seems that a figure around 10,000 cases would be a reasonable estimate for exponential growth during that time frame. However, without the actual graph, I can only suggest that you refer to the line at day 20 to make a precise determination.

Therefore, the most logical estimate for the number of COVID-19 cases on day 20 would be 10,000 cases if that aligns with the line on the graph.