data includes the total number of full-time jobs added in the past year, total worldwide revenue (in Smillions), and the ful-time voluntary turnover (96) ndwide 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 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 Tumover (%). (Round the constant and X-coefficient to the nearest integer as needed. Round the X-coefficient to four decimal places as needed.) b. Interpret the meanings of the slopes b, and b, in this problem. Choose the correct answer below. O Data of Best Companies to Work For OA. For each increase of 1 in Jobs Added, the Revenue is estimated to increase by Sb, million and the Turnover percentage is estimated to increase by b,%. OB. For each increase of 1 in both Revenue and Turnover, the Jobs Added is estimated to increase by b, + bz OC. The slopes b, and b, cannot be interpreted individually. . FT OD. For a given Turnover, for each increase of $1 milion in Revenue, the Jobs Added is estimated to increase by b,. For a given Revenue, for each increase 1% in Turnover, the number of Jobs Added is estimated to increase by b,. - Total FT Jobs Added 60 - 1,261 -237 102 608 Total Worldwide Voluntary Revenues (Smillions) 9,502.000 11,762.000 5,955.676 1,809.017 1.000.420 Turnover c. Interpret the meaning of the regression coefficient, bg. Select the correct choice below. 4 908 0.000 4.285 5.529 27.308 11.827 7.893 5.673 11.451 6.534 8.335 1.743 1.771 6.996 20.038 9.030 10.535 4.611 9.603 13 136 OA. The coeficient b, represents the total worldwide revenue and a voluntary turnover. OB. The coefficient b, represents the estimated number of total jobs added when there is a total worldwide revenue of $0. - 16 329 492 380.941 236.698 2,600.000 6,368.000 961.478 2,331.041 16,500.000 2,870.000 1,309.239 12,316.379 8,657.000 OC. The coefficient b, represents the estimated number of total jobs added when there is a total worldwide revenue of S0 and a voluntary turnover of 0%. OD. The coefficient b, represents the estimated number of total jobs added when there is a voluntary turnover of 0%. 84 716 66 224 569 1,264 373 95 842 7,082 4040 d. What conclusions can you reach concerning full-time jobs added? Select the correct choice below. OA. The model uses both the revenue and the voluntary turnover to predict the number of full-time jobs added. OB. The model uses the voluntary turnover to predict the number of full-time jobs added. The revenue only affects the voluntary turnover directly OC. The model uses the revenue or the voluntary turnover to predict the number of full-time jobs added, but not both. OD. The model uses the revenue to predict the number of full-time jobs added. The voluntary turnover only affects the efficiency ratio directy. 706.757 14,778.000 11,700.000 21 396 000
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
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