Mai sells makeup online and has noticed that demand for her products, glittery lip gloss, has varied wildly over the past few months she has been selling it. She's been doing some online advertising and thinks there might be a relationship between how much she's spending each week on ads and her weekly lip gloss sales, so she's used Excel to create an Associative Forecast: where the intercept is -20 and the slope is 2.5 per $ spent advertising. Use this information to forecast lip gloss sales in week 18, when she will be spending $100 on advertising. Answer:

Solve on paper ( economics)

Consider a city where everyone commutes to the city center and commuting cost per mile per month is $40. Each household occupies a 1,000-square-foot dwelling and has $7,000 worth of possessions in its dwelling. The probability that any particular household will be burglarized (involving the uninsured loss of all possessions) is 0.10 at the city center and decreases by 0.01 per mile (to 0.09 at one mile, 0.08 at two miles, and so on). The housing price is $1.00 per square foot at the city center. a) Draw the housing-price curve for locations up to five miles from the city center.

How Forecasts is compared with predicted values? why these both terms are different?

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Industry standards suggest that 12 percent of new vehicles require warranty service within the first year. University Toyota in Morgantown, WV sold 10 Toyotas yesterday. What is the probability that exactly one of these vehicles will require warranty service?

Find positive numbers x and y such that x + y = 72 and 6xy² is maximized.

According to a 2017 survey conducted by the technology market research firm The Radicati Group, U.S. office workers receive an average of 121 e-mails per day (Entrepreneur magazine website). Assume the number of e-mails received per hour follows a Poisson distribution and that the average number of e-mails received per hour is five. a. What is the probability of receiving no e-mails during an hour (to 4 decimals)? b. What is the probability of receiving at least three e-mails during an hour (to 4 decimals)? For this question, if calculating the probability manually make sure to carry at least 4 decimal digits in your calculations. c. What is the expected number of e-mails received during 15 minutes (to 2 decimals)? d. What is the probability that no e-mails are received during 15 minutes (to 4 decimals)?