The problem facing a manager is to assess the impact of factors on full-time (FT) job growth. Specifically, the manager is interest in the impact of total worldwide revenues and full-time voluntary turnover on the number of full-time jobs added in a year. Data were collected from a sample of 20 "best companies to work for." The data includes the total number of full-time jobs added in the past year, total worldwide revenue (in Smillions), and the full-time voluntary turnover (%). Use the accompanying data to complete parts (a) through (d) below. E Click the icon to view the data table. a. State the multiple regression equation. Let X, represent the Total Worldwide Revenues (Smillions) and let X, represent the FT Voluntary Turnover (%). O Data of Best Companies to Work For - X (Round the constant and X2-coefficient to the nearest integer as needed. Round the X,-coefficient to four decimal places as needed.) FT Revenues Jobs Added (Smillions) 7,998.700 Total Worldwide Voluntary Turnover (%) 8.329 Total FT - 973 1,160 3,651.328 23,420.000 888.000 276.616 332.268 6,841.496 608.200 11,500.000 1,931.000 6.168 14.355 10.837 6.375 -111 21 263 138 71 - 57 - 128 - 116 486 727.908 12,151.797 6,368.000 5,040.000 24,400.000 1,809.017 27,706.772 551.000 9,502.000 14,778.000 1.950 6.007 5.790 5.390 7.853 15.486 8.870 11.451 6.496 11.673 5.529 3.346 12.383 4.908 254 2,402 102 1,357 36 60 842 4.611

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Q: 7. How many terms are there in the multinomial expansion of (x₁ + x₂ + ... .+x)"? ******..

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Contingency Table

A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.

Binomial Distribution

Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.