Café Michigan's manager, Gary Stark, suspects that demand for mocha latte coffees depends on the price being charged. Based on historical observations, Gary has gathered the following data, which show the numbers of these coffees sold over six different price values: Price Number Sold $2.70 760 $3.50 510 $2.00 980 $4.20 250 $3.10 320 $4.05 480 a. Using these data, how many mocha latte coffees would be forecast to be sold according to simple linear regression if the price per cup were $2.80? 677 b. What is the MAD? [Select] c. What is the Coefficient of Determination? [Select] tell you? [Select ] 2 and what does that

2. Calculate the five-number summary for this list of automobile prices: $17,000 $30,200 $27,000 $32,700 $19,500 $18,000 $24,500 $27,800 $25,600 $29,000

The total sales made by a salesperson was $25,000 after 3 months and $68,000 after 23 months. Predict the total sales after 28 months. O A. $78,750 B. $78,850 O C. $78,720 O D. $78,792

Suppose a math class contains 40 students. There are 18 females (two of whom speak Spanish) and 22 males (two of whom speak Spanish). Give all answers as decimals to at least two decimal places. What percent of Spanish speaking students are male? Give answer as a decimal.

A sales manager collected the following data on annual sales and years of experience. Annual Sales ($1000s) 80 Salesperson Years of Experience 1 1 4 102 3 6 103 4 10 119 5 13 136

Please answer all these questions and label, data included: Size($) Rent(sq.feet) 850 1950 1450 2600 1085 2200 1232 2500 718 1950 1485 2700 1136 2650 726 1935 700 1875 956 2150 1100 2400 1285 2650 1985 3300 1369 2800 1175 2400 1225 2450 1245 2100 1259 2700 1150 2200 896 2150 1361 2600 1040 2650 755 2200 1000 1800 1200 2750   10. Based on all of the above questions, what will you conclude about the relationship between house size and rent price?       11. Construct a 95% confidence interval estimate of the population slope, β1.         12. Construct a 95% confidence estimate of the mean renting cost of a house that is 2000 square feet.         13. Construct a 95% prediction interval of the renting cost of an individual house that is 2000 square feet.

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A sales manager collected the following data on annual sales and years of experience. Annual Sales ($1000s) 80 Salesperson Years of Experience 1 1 4 102 3 6 103 4 10 119 5 13 136

A company's price/earnings (P/E) ratio is the company's current stock price divided by the latest 12 months' earnings per share. Suppose the following table shows the P/E ratios for a sample of 10 Japanese companies and 12 U.S. companies. Japan P/E Ratio 156 28 14 129 38 216 67 665 36 64   United States P/E Ratio 12 27 27 46 23 17 28 17 28 34 19 17 Is the difference between the P/E ratios for the two countries significant? Use the MWW test and ? = 0.01 to support your conclusion. State the null and alternative hypotheses. H0: The two populations of P/E ratios are identical.Ha: The two populations of P/E ratios are not identical.H0: The two populations of P/E ratios are not identical.Ha: The two populations of P/E ratios are identical.    H0: Median for Japanese companies − Median for U.S. companies > 0Ha: Median for Japanese companies − Median for U.S. companies = 0H0: Median for Japanese companies − Median for U.S.…

A company's sales in Seattle were $390,000 in 2012, while their sales in Portland were $270,000 for the same year. Complete the following statements:a. Seattle's sales were  % larger than Portland's.b. Portland sales were  % smaller than Seattle's.c. Portland sales were  % of Seattle's.Give answers accurate to at least one decimal place.