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Can anyone help me with these? 1. Linear Regression Use linear regression to find the equation for the linear function that best fits this data.

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Can anyone help me with these?

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Linear Regression Use linear regression to find the equation for the linear function that best fits this data. Round both numbers to two decimal places. Write your final answer in a form of an equation 3; = ma: + b [III-\"Inn .m-MIEI A manufacturer's suggested retail price for a base model 2022 Ford Bronco is $36, 450 and, with depreciation, the car is expected to be valued at $27200 in 5 years. Consider 2022 as year zero. a. Find a linear depreciation function for this car. b. Estimate the value of the car 9 years from year zero. c. At what rate is the car depreciating per year? d. According to this model, how many years will pass before the car is worth zero dollars, round to the nearest integer. e. Include a desmos graph with the linear function and the answer to part b, as an ordered pair, on your graph. Given the function f(m) = 6.21:3 43:2:2 + 713: 30 A) Graph the function B) State the three zeros, separated by commas. Recall that the zeros are the x-intercepts. :] Use the data in the given table to create a scatter-plot. Use the scatter-plot to choose the most appropriate regression model, then fill in the missing coefficients. Round your answers to 3 decimal places. O Quadratic 0 Cubic Given the polynomial function: P(:c) = 3:3 31:2 + 133: + 15 A) Graph the function on desmos.com, or another graphing utility, or by hand, if by hand, feel free to use the graph provided below. B) How many x-intercepts are there on this graph? What is the maximum number of xintercepts for any cubic function? How do you know? C) How many "peaks and valleys," also known as the number of local minimums and maximums, does this function have? What is the maximum number of local minimums and maximums any cubic function can have? D) Describe this graph in your own words. B) What does the sign of the leading coefcient tell you about this graph? The data for the use of a certain cellar phone is represented in the table below. Let t represent time in years, thus 2005 2 year 5. Let f(t) represent users in thousands. at ' 2005 ' 2010 ' 2015 ' 2020 ' 2021 ' 2022 ' 2030 ' 2035 ' 2040 f(t) '8 '14 '18 '19 '18.9 '18.8 ' ' ' A quadratic regression function for these data is given below. f(t) : 0.05152 + 2t 1 where t is time in years and f(t) is users in thousands. Use a graphing calculator or desmos.com (https:llhelp.desmos.com/hc/en-us/articles/4406972958733- Regressions ) determine the following. a) Is the function a good model for the data, yes or no, explain. b) Using this model, predict the number of users (in thousands) for the year 2030. c) Using this model, predict the number of users (in thousands) for the year 2035. d) Between what years will there be zero users? e) If you were the CEO of this cellular phone company, what would you do based on this model? (There is no right or wrong answer for part e. But do take the question seriously; after all, this is an algebra of business and economics course.) f) Include your regression graph in your

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