# Question

Here are the data from the small bookstore we saw in chapter 15, Exercise,

The regression line is:

Sales = 8.10 + 0.913 number of sales people working and we can assume that the assumptions and conditions for regression are met. Calculations with technology find that se = 1.477.

a) Find the predicted sales on a day with 500 employees working.

b) Is this prediction likely to be useful? Explain.

The regression line is:

Sales = 8.10 + 0.913 number of sales people working and we can assume that the assumptions and conditions for regression are met. Calculations with technology find that se = 1.477.

a) Find the predicted sales on a day with 500 employees working.

b) Is this prediction likely to be useful? Explain.

## Answer to relevant Questions

For each of the models listed below, predict y when x = 2. a. y-hat = 1.2 + 0.8 log x b. log y-hat = 1.2 + 0.8x c. y-hat = 1.2 + 0.8√x d. y-hat = 1.2 (0.8x) e. y-hat = 0.8x2 + 1.2x + 1 Of course, what matters most to the individual entrepreneur—the licensed commercial lobster fisher—is the price of lobster. Here’s an analysis relating that price ($/lb) to the number of traps (millions) since 1950: a) ...In Exercise 63 we examined the relationship between log(GDPPC) and HDI. The number of Internet users (per 1000 people) is also positively associated with economic progress in a country. Here’s a scatterplot of Internet ...On a typical night in New York, about 25,000 people attend a Broadway show, paying an average price of more than $75 per ticket. Variety (www.variety.com), a news weekly that reports on the entertainment industry, publishes ...The investor in Exercise 18 now accepts your analysis but claims that it demonstrates that it doesn’t matter how many shows are playing on Broadway; receipts will be essentially the same. Explain why this interpretation is ...Post your question

0