In a certain country, total alcoholic beverage sales are reported throughout the year. Sales were reported as $118.5 billion at the beginning of 2004 and $136.2 billion at the beginning of 2006. (a) Let the x-axis denote time and the y-axis denote the amount of alcohol sales (in billions). Let x = 0 correspond to 2004. Fill in the blanks: The given data is represented by the points 118.5) and (2,). (b) Find the linear equation determined by the two points in part (a). (c) Use the equation in part (b) to estimate the alcohol sales produced in 2005. (d) If the model remains accurate, in what year will reported alcohol sales reach $150 billion? (a) The given data is represented by the points (,118.5) and (2,). (Type integers or decimals rounded to one decimal place.) (b) The linear equation determined by the two points in part (a) is y =x+. Type integers or decimals rounded to one decimal place.) c) The alcohol sales produced in 2005 are approximately S billion. Type an integer or decimal rounded to one decimal place.)

A car dealership is analyzing the changes in its monthly sales. They sold 40 cars in March, 55 in April, 61 in May, 29 in June, 63 in July, and 40 in August. Create line graph that represents this data. 3.

We want to predict the selling price of a house in Newburg Park, Florida, based on the distance the house lies from the beach. Suppose that we're given the data in the table below. These data detail the distance from the beach (x, in miles) and the selling price (y, in thousands of dollars) for each of a sample of sixteen homes sold in Newburg Park in the past year. The data are plotted in the scatter plot in Figure 1. Also given is the product of the distance from the beach and the house price for each of the sixteen houses. (These products, written in the column labelled "xy", may aid in calculations.) Distance from the beach, x (in miles) 7.7 18.5 6.3 11.9 11.0 14.6 11.3 3.0 Selling price, y (in thousands of dollars) 290.8 215.0 304.4 269.9 283.2 203.4 212.4 263.2 197.3 272.2 215.1 241.6 312.3 221.5 279.1 236.1 10.9 4.9 12.5 5.8 3.6 5.7 9.4 8.1 Send data to calculator xy 2239.16 3977.5 1917.72 3211.81 3115.2 2969.64 2400.12 789.6 2150.57 1333.78 2688.75 1401.28 1124.28 1262.55…

The amount of time adults spend watching television is closely monitored by firms because this helps to determine advertising pricing for commercials. Complete parts (a) through (d). (a) Do you think the variable "weekly time spent watching television" would be normally distributed? If not, what shape would you expect the variable to have? A. The variable "weekly time spent watching television" is likely normally distributed. B. The variable "weekly time spent watching television" is likely skewed right, not normally distributed. C. The variable "weekly time spent watching television" is likely symmetric, but not normally distributed. D. The variable "weekly time spent watching television" is likely skewed left, not normally distributed. E. The variable "weekly time spent watching television" is likely uniform, not normally distributed. (b) According to a certain survey, adults spend 2.35 hours per day watching television on a weekday. Assume that the standard deviation for "time spent…

i. Use the best-fit-line equation for the sugar graph, y = 59.6 2.43x, to predict the rating of a cereal with 9 grams of sugar per serving.

We want to predict the selling price of a house in Newburg Park, Florida, based on the distance the house lies from the beach. Suppose that we're given the data in the table below. These data detail the distance from the beach (x, in miles) and the selling price (y, in thousands of dollars) for each of a sample of fifteen homes sold in Newburg Park in the past year. The data are plotted in the scatter plot in Figure 1. Also given is the product of the distance from the beach and the house price for each of the fifteen houses. (These products, written in the column labelled "xy", may aid in calculations.) Distance from the beach,  x (in miles) Selling price,  y (in thousands of dollars) xy 5.0 270.1 1350.5 11.5 205.9 2367.85 5.9 309.4 1825.46 12.2 200.6 2447.32 2.6 307.1 798.46 5.9 266.0 1569.4 8.3 297.3 2467.59 18.3 224.2 4102.86 6.5 242.4 1575.6 12.1 192.6 2330.46 11.6 229.4 2661.04 9.5 230.9 2193.55 10.1 277.0 2797.7 13.5 270.8 3655.8 6.2…

Review the data in the Table 1, entitled, "Average Annual Salaries for Bachelor of Science Graduates, Summer 2016-Spring 2017". Using this data, create a chart (with a title, labeled axes, and a legend) comparing the average salaries that you could use to guide high school students who want salary influence the type of engineering major that they will choose. Consider, which fields tend to make the most money? Write a recommendation letter addressed to a high school student who wants to select an engineering field based on the salary; using a comparison of the data, recommend which majors they should most closely consider. Engineering - Average Annual Salaries & Hourly Wages for Undergraduates by Program, Summer 2016-Spring 2017 Average Annual Salaries for Bachelor of Science Graduates, Summer 2016-Spring 2017 | Offers/Acceptances with Salary Information 31 Average Annual Salaries $66,356 All Program Aeronautical & Astronautical Engineering Aviation Biomedical Engineering Chemical…

a) Find the equation of the line which is the best fit for the data, with x equal to the number of years after 1999 and y equal to the millions of people b) Ise the model to estimate the number of people who took trips in 2008.

Create a graph chart using in this situation: According to literacy in the country of OZ, youth literacy went up 7% since 2000. Here is the data: In 2000, only 43% of the youth population was literate. In the next census at 2005 it went up by 2%. After five years, the literacy rate was at 47%. During the most recent survey in 2015, the rate is already 50%

Given data of height, x and stories, y is of six notable buildings in a city. height numbers: 768, 628, 518, 511, 491, 478 and stories numbers: 52, 48, 46, 43, 37, 35.  What is the scope and y intercept of this? Round the scope to three decimal places as needed. Round the y-intercept to two decimal places as needed.