[填空题]
The table below shows the daily revenue, R , in thousands of USD, of w bo h)3f)ft*da toy stu:;u39j nhx-qdt4nuc 0t e ma9ore 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 u nuxh4qdnj e:u;09t-3cam9tin 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
