ancial analyst is examining the relationship between stock prices and earnings per share. She chooses fifteen publicly traded companies at random and ords for each the company's current stock price and the company's earnings per share reported for the past 12 months. Her data are given below, with x oting the earnings per share from the previous year and y denoting the current stock price (both in dollars). A scatter plot of her data is shown in Figure 1. Earnings per share, x (in dollars) Current stock price, y (in dollars) 41.07 1.36 37.16 1.44 32.51 0.83 21.34 0.69 28.57 1.53 50.97 1.72 32.12 1.58 41.71 1.99 39.64 1.03 0. 14.06 0.54 58.32 2.70 2.37 Earnings per share (in dollars) 56.90 38.41 1.13 Figure 1 28.89 0.96 0.67 16.27 Send data to calculator Send data to Excel The value of the sample correlation coefficient r for these data is approximately 0.871. Answer the following. Carry your intermediate computations to at least four decimal places, and round your answers as specified below. (If necessary, consult a list of formulas.) (a) What is the value of the slope of the least-squares regression line for these data? Round your answer to at least three decimal places. (b) What is the value of the y-intercept of the least-squares regression line for these data? Current stock price (in dollars)

Question 3 Refer to the stack plot below. The vertical scale is the proportion of sales. (a) Describe the proportion of sales for puzzle games between 1985 and 2015. (b) Which genre(s) increased in proportion of sales between 2010 and 2015? (c) Which genre had the largest proportion of sales in 1985? Video Games by Year and Genre: 1980-2016 1.0- 0.9- Genre 0.8 Action Advente Fighting Misc Platform Puzzle 0.7- 0.6- 0.5- Racing Role-Play Shooter Simulation 0.4- 0.3 0.2- Sports Strategy 0.1- 0.0- 1980 1985 1990 1995 2000 2005 2010 2015 O True O False

find the 5 number summary and construct a box plot for company A

A financial analyst is examining the relationship between stock prices and earnings per share. She chooses sixteen publicly traded companies at random and records for each the company's current stock price and the company's earnings per share reported for the past 12 months. Her data are given below, with x denoting the earnings per share from the previous year and y denoting the current stock price (both in dollars). A scatter plot of her data is shown in Figure 1. Also given is the product of the earnings per share and the current stock price for each of the sixteen stocks. (These products, written in the column labelled "xy ", may aid in calculations.) Earnings per share, x (in dollars) 36.79 49.84 30.65 30.17 17.66 57.66 37.98 20.65 58.67 13.52 41.83 39.28 43.73 Current stock price, y (in dollars) 1.43 1.56 0.81 1.40 0.77 2.64 1.11 0.70 2.18 0.41 1.80 1.05 1.63 ху 52.6097 77.7504 24.8265 42.238 13.5982 152.2224 42.1578 14.455 127.9006 5.5432 75.294 41.244 71.2799 Current stock…

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. Distance from the beach, x (in miles) 5.1 6.2 9.5 10.3 10.7 5.3 12.6 13.0 19.4 8.2 5.2 3.8 9.0 11.7 11.5 8.3 Send data to calculator V Selling price, y (in thousands of dollars) 263.5 274.6 238.6 223.7 267.1 306.2 202.5 267.7 217.3 224.7 241.0 312.0 284.6 210.9 185.6 294.2 Send data to Excel thousands of dollars) Selling price 350+ 300+ Figure 1 250 200 150. 0 Distance from the beach (in miles) Español F00 ? D 1 As M

Susan, a personal trainer, was interested in whether or not there was a linear relationship between the number of visits her clients made to the gym each week and the average amount of time her clients exercised per visit. She took the following data.   Client 1 2 3 4 5 6 Number of visits per week 1 3 4 2 3 5 Average time spent exercising per visit (hours) 2 1.5 1 2 2 0.30   Using the best fit line, estimate the average time spent exercising per visit for 4 visits per week. Group of answer choices 1.03 hours 1 hour 10.3 hours 2 hours

A financial analyst is examining the relationship between stock prices and earnings per share. She chooses fifteen publicly traded companies at random and records for each the company's current stock price and the company's earnings per share reported for the past 12 months. Her data are given below, with x denoting the earnings per share from the previous year and y denoting the current stock price (both in dollars). A scatter plot of her data is shown in Figure 1. Also given is the product of the earnings per share and the current stock price for each of the fifteen stocks. (These products, written in the column labelled "xy ", may aid in calculations.) Earnings per Current stock price, y (in dollars) share, x (in dollars) xy 37.59 1.19 44.7321 y 56.02 2.70 151.254 20.21 0.75 15.1575 X 41.33 0.91 37.6103 19.90 0.63 12.537 58.72 2.37 139.1664 43.33 1.45 62.8285 42.61 1.77 75.4197 13.72 0.52 7.1344 37.29 1.39 51.8331 30 30.12 0.93 28.0116 49.34 1.59 78.4506 Earnings per share (in…

A financial analyst is examining the relationship between stock prices and earnings per share. She chooses fifteen publicly traded companies at random and records for each the company's current stock price and the company's earnings per share reported for the past12 months. Her data are given below, with x denoting the earnings per share from the previous year and y denoting the current stock price (both in dollars). A scatter plot of her data is shown in Figure 1. Also given is the product of the earnings per share and the current stock price for each of the fifteen stocks. (These products, written in the column labelled " xy  Earnings per share,  x (in dollars) Current stock price,  y (in dollars) xy 49.65 1.53 75.9645 27.34 1.09 29.8006 36.07 1.47 53.0229 21.11 0.70 14.777 58.19 2.32 135.0008 58.32 2.86 166.7952 43.48 1.08 46.9584 18.20 0.85 15.47 41.85 1.68 70.308 32.39 1.68 54.4152 30.67 1.34 41.0978 42.03 1.54 64.7262 15.56 0.54 8.4024…

Question Completion Status: Company A, Company B, and Company C sold a number of stocks each month in 2019. Each company described their stock sales in the box plots shown below. Which box plot is most left-skewed? Company A Company B Company C Save All Ar Click Save and Submit to save and submit. Click Save All Answers to save all answers. * Relative Worksheet Py....docx Reading - Mappi..pdf A W MLK Letter -2.pdf W Worksheet - W....docx 四田07A DIC. ostv 11