[填空题]
The table below shows the dre+vlrq;)o tgv m0;w:g 8 ebw,aily revenue, R , in thousands of USD, of a to:nldt5keflk ;r: sb8f / e/c.ii py+5hy store during the month of December. The first row of the table shows the day of the month (t ) and the second row the revenue of that day.c:k:f; 5hif t/lsk8epib d 5+ye/ rnl in thousands of USD.
1. 1. Generate a scatter diagram for this data on the axes below.
2. Identify a possible outlier and give a possible reason for this outlier;
3. Give a reason why plotting R vs $ \log (t)$ is likely to be the best linearisation method.
2. Linearise the data and determine an appropriate linear model for the daily revenue R in terms of day of the month in December, t .
3. Using your model, predict the revenue after 3 weeks in December.
4. The total revenue for the month of December can be estimated by $ \int_{a}^{b} R \mathrm{dt}$ .
1. Write down the values of a and b .a= ,b= .
2. Estimate the total revenue in December using your model.
TR≈ thousads of USD
