In your follow-up posts to other students, review your peers' results and provide some analysis and interpretation: 1. Interpret your peer's coefficient of determination. How does it compare with yours? 2. How do the results of your peers' t-tests compare with yours? 3. Would you recommend this regression model to the car rental company? Why or why not?
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- Find the equation of the regression line for the following data set. x 1 2 3 y 0 3 4For the following exercises, use Table 4 which shows the percent of unemployed persons 25 years or older who are college graduates in a particular city, by year. Based on the set of data given in Table 5, calculate the regression line using a calculator or other technology tool, and determine the correlation coefficient. Round to three decimal places of accuracyFor a data set consisting of two data points: a. Identify the regression line. b. What is the sum of squared errors for the regression line? Explain your answer.
- Mr. James McWhinney, president of Daniel-James Financial Services, believesthere is a relationship between the number of client contacts and the dollar amountof sales. To document this assertion, Mr. McWhinney gathered the following sampleinformation. The x column indicates the number of client contacts last month andthe y column shows the value of sales ($ thousands) last month for each clientsampled a. Determine the regression equation.b. Determine the estimated sales if 40 contacts are madePlease have a concise explanation and step by step solution. Thank you!write the regression code for the following data based on the below instruction, in STATA. hint: occupation=a categorical variable equal to ”1” if a person’s occupation is ”management”; ”2” if it is ”sales”; ”3” if it is ”clerical”, ”4” if it is ”service”, ”5” if it is ”professional” and ”6” if it is ”other”. Please make sure to use ”other” as the base category;
- a. Based on the scatterplot, is there a positive or negative association between height of athlete and length of jump? b. Based on the scatterplot, state why using a linear regression equation is justified to assess the relationship between height and length of jump. c. Which of the following (pick one only) could be a possible value of the correlation coefficientbetween distance and height? Explain in a sentence or two.Choices are: -1, -0.7, 0, 0.1, 0.7, 1.Please answer all three subparts with explanation. I will really upvote. ThanksRestaurant Digest, a famous restaurant magazine writes that the amount of tips servers get in Florida is affected by several factors including the amount of bill, number of adult diners as well as kids and the income of the diners. Use the data below to answer the following questions: Find the multiple regression model. At a level of significance of 0.03, is there a significance relationship between the amount of tip and at least one of the independent variables? What is the likely amount of tip if a group of diners spend $40.33 and had an annual income of $81,000. The diners included 4 adults and 3 kids? What percent of the variation in amount of tip is accounted for by amount of bill, annual income, number of adults and kids? Customer Amount of Tip Amount of Bill Number of adult Diners Number of kids Annual Income 1 $ 7.00 $ 48.97 5 3 100000 2 $ 4.50 $ 28.23 4 3 80000 3…
- Marks obtained by students in a Chemistry test was adjusted because of an error in one of the questions. The marks are now classified as:A. Primary dataB. Secondary dataC. Regression dataD. External dataBill wants to explore factors affecting work stress. He would like to examine the relationship between age, number of years at the workplace, perceived social support, and work stress. He collects data on the variables from 100 employees (males and females) working in banks. Conduct a multiple regression analysis to answer the following questions: What is the relationship of age, number of years, and social support with work stress? Is the regression significant? If yes, what does it indicate? What is the regression equation for all the predictors? Write a results section based on your analysis that answers the research question. * last person got this wrong*The regional transit authority for a major metropolitan area wants to determine whetherthere is a relationship between the age of a bus and the annual maintenance cost. A sampleof ten buses resulted in the following data: a. Develop a scatter chart for these data. What does the scatter chart indicate about therelationship between age of a bus and the annual maintenance cost?b. Use the data to develop an estimated regression equation that could be used to predictthe annual maintenance cost given the age of the bus. What is the estimated regressionmodel?c. Test whether each of the regression parameters b0 and b1 is equal to zero at a 0.05level of significance. What are the correct interpretations of the estimated regressionparameters? Are these interpretations reasonable?d. How much of the variation in the sample values of annual maintenance cost does themodel you estimated in part b explain?e. What do you predict the annual maintenance cost to be for a 3.5-year-old bus?