Table A-6.pdf Consider the following data that compares the Consumer Price Index (CPI) with subway fare in a particular city:CPI 30.2 48.3 112.3 162.2 191.9 197.8Subway Fare 0.15 0.35 1.00 1.35 1.50 2.00a. Using the given data, construct a scatter plot with CPI as the independent variable (x) and subway fare as the dependent variable (y).b. Write the regression equation that predicts subway fare in terms of CPI.c. Using the equation found in Part b, find the best predicted cost of subway fare when the CPI is 182.5.1. Listed below are baseball team statistics consisting of the proportions of wins and the result of this difference: Difference (number of runs scored) – (number of runs allowed). The statistics are from a recent year, and the teams are NY—Yankees, Toronto, Boston, Cleveland, Texas, Houston, San Francisco, and Kansas City.Difference 163 55 –5 88 51 16 –214Wins 0.599 0.537 0.531 0.481 0.494 0.506 0.383a. Construct a scatter plot, find the value of the linear correlation coefficient r, and find the critical values of r from Table A–6 using α = 0.05.b. Is there sufficient evidence to conclude that there is a linear correlation between the proportion of wins and the above difference?2. One classic application of correlation involves the association between the temperature and the number of times a cricket chirps in a minute. Listed below are the numbers of chirps in 1 min and the corresponding temperatures in °F:Chirps in 1 min882 1188 1104 864 1200 1032 960 900Temperature (°F)69.7 93.3 84.3 76.3 88.6 82.6 71.6 79.6a. Construct a scatter plot, find the value of the linear correlation coefficient r, and find the critical values of r from Table A–6 using α = 0.05.b. Is there a linear correlation between the number of chirps in 1 min and the temperature?Below is a control chart for the temperature of a freezer unit in a restaurant. The owner of the restaurant is deciding whether or not to buy a new unit. The two charts display the temperature for the past two weeks. Write a paragraph analyzing the control charts and argue whether the owner should buy a new unit or not. Control Charts for Variation and Mean3. Below is a control chart for the temperature of a freezer unit in a restaurant. The owner of the restaurant is deciding whether or not to buy a new unit. The two charts display the temperature for the past two weeks. Write a paragraph analyzing the control charts and argue whether the owner should buy a new unit or not. (5-6 sentences) See Graph attachment.

The long essay would be a traditional essay that typically fiveparagraphs long. The first paragraph should introduce the topic and state thestudent's position / answer to the question. It should contain betweenthree-five (3-5) complete sentences, including the thesis statement for theessay. The second, third, and fourth paragraphs are the body paragraphs. Eachbody paragraph should contain between three-five (3-5) sentences, including thetopic sentence (first sentence of the body paragraph, states a main point thatsupports the thesis) and at least two-three (2-3) specific examples per mainpoint. The fifth and final paragraph should begin with a restatement of thethesis. It should be three-five (3-5) complete sentences, and include a briefsummary/conclusion of the student's answer to the essay question. It isessential, particularly in the survey courses, for students to provide citesand footnotes for their work in untimed exams. Citations must adhere to theChicago Style format but perfection is not expected. An example of commoncitations are included on pages four and five of this edition.What was the role of the railroads in the settlement of theGreat West?Describe Keynesianeconomic policies. How important were they to the New Deal?What was the long term significance of the Korean War?What were the key elements of Reagan’s domestic policy?DUE THURSDAY!!!!

Describe a business situation, where mean and standard deviation can be used in decision making. Describe how calculation of mean and standard deviation can help in making a decision.What are the various methods one can use to identify the shape of data distribution collected for research study? Why it is important to know the shape of distribution? How it can be used in decisionmaking? Provide examples. Select an article from a news magazine or research journal where data is displayed in a pie or bar chart. Describe the data displayed in the chart and what conclusion you could draw