Using the displays in part ‘a’ sheet 2, compare and contrast the two data sets
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Using the displays in part ‘a’ sheet 2, compare and contrast the two data sets.
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- Draw a scatter diagram with square feet of living space as the independent variable and selling price as the dependent variable and describe variable and describe the relationship between the size of a house and the selling price.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…Please complete the rest of these questions thank you! The given scatter plot shows age versus test score data for a testof video game skills: d) Use your equation to predict the test score for a60 year-old test-taker.e) Estimate the value of the linear correlationcoefficient for your line. Explain your reasoning.
- Classify the data as either discrete or continuous.The number of freshmen entering college in a certain year is 621. Group of answer choices Discrete ContinuousA real estate agent has developed a linear model for the price of a house, P, in dollars in terms of the area, A, in square feet for the homes in a certain neighborhood. The data set had areas ranging from 1,000 square feet to 4,500 square feet. Would predicting the prices of a home that is 4,900 square feet be interpolation or extrapolation? Explain. Using the model to predict the price of a 4,900 square foot home is extrapolation because 4,900 square feet is outside the range of the areas in the data. Using the model to predict the price of a 4,900 square foot home is interpolation because 4,900 square feet is inside the range of the areas in the data. Using the model to predict the price of a 4,900 square foot home is extrapolation because 4,900 square feet is inside the range of the areas in the data. Using the model to predict the price of a 4,900 square foot home is interpolation because 4,900 square feet is outside the range of the areas in the data.when does the line on a scatter plot best fit?