To determine the best estimate for the number of COVID-19 cases in the UK on day 20 using the described graph, you would look at the value on the y-axis that aligns with day 20 on the x-axis.
From your description, it sounds like the data points or the exponential fit curve from the graph is crucial to making this estimate. Typically, in graphs representing cumulative cases, values tend to rise steeply as the curve progresses due to the exponential nature of virus spread.
Without access to the image itself, I can't see the exact values. However, based on average trends observed during the early stages of the COVID-19 pandemic, it's reasonable to expect that the cumulative cases would likely be somewhere in the middle of the options provided.
Considering the provided options:
- 12,000 cases
- 2,000 cases
- 15,000 cases
- 10,000 cases
If the trend was indeed steady and on an exponential growth path over 20 days, it would be reasonable to estimate a number such as 10,000 cases or 12,000 cases—and both may be plausible. Generally, cumulative cases would not likely be as low as 2,000 or as high as 15,000 unless there were very unusual spikes in growth.
Without specific access to the graph to directly see the corresponding value for day 20, a more cautious estimate entertained within the middle range like 10,000 cases could be a safer bet. However, if the exponential curve clearly indicates something closer to 12,000, that would also make sense.
Therefore, you might want to choose 12,000 cases if that aligns with what the graph indicates.