[填空题]
The table below shows the daily mwt: jm -r/ o09* oahq ,n78r1mzv-6awcnqfzorevenue, R, sqm-iew 4tgn90k k6gju/e*di 0/oy2h in thousands of USD, of a toy 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 da0 iehnuw s-yj0ie mot//gq6g* k49 2kdy 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. ≈ thousands of USD
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.≈ thousands of USD
