Beef consumption (in pounds per capita) in the United States between 1922 and 1941 are given in the data set beef.txt. Other variables of interest are beef price (in cents per pound divided by CPI), income (disposable income per capita in dollars divided by the CPI), and pork consumption (pounds per capita). [CPI = Consumer price index]. Find a model that best describes beef consumption in the United States. Complete a full analysis of the data (initial plots, model selection, residual plots etc.). Discuss your results. (please use r to solve it) Year Beef.Consumption Price Income Pork.Consumption 1922 59.1 23.1 452 65.7 1923 59.6 23.6 505 74.2 1924 59.5 24.1 499 74 1925 59.5 24.5 507 66.8 1926 60.3 24.8 515 64.1 1927 54.5 26.5 520 67.7 1928 48.7 30.5 533 70.9 1929 49.7 32 556 69.6

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Time Complexity

In computer science, the computational complexity that is measured in terms of time is referred to as time complexity that defines how long it takes a computer to execute an algorithm. An algorithm's time complexity is measured by the the amount of time required to execute each statement of code in the algorithm. If a statement is set to execute repetitively, the number of times it will be N multiplied by the time it takes to run that function each time is equal .