The problem facing a manager is to assess the impact of factors on full-time (FT) job growth. Specifically, the manager is interested 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 $millions), and the full-time voluntary turnover (%). Use the accompanying data to complete parts (a) through (d) below.

Total FT Jobs Added	Total Worldwide Revenues	FT Voluntary Turnover
-19	686	9.721
161	373.693	5.4
4040	21396	13.136
360	1543	8.582
-237	5955.676	4.285
36	551	12.383
178	3900	5.99
-111	23420	14.355
87	290.401	4.559
2013	5027.418	7.753
1465	53300	0.388
-973	7998.7	8.329
71	608.2	5.79
-64	4487	8.322
55	280	7.688
716	2331.041	8.335
2482	19121	2.792
314	3319	18.283
-129	31600	8.535
115	609.248	13.780

State the multiple regression equation.

Yi= ans +(ans)X1i +(ans)X2i

(Round the constant and X 2 iX2i -coefficientto the nearest integer as needed. Round the X 1 iX1i -coefficient to four decimal places as needed.)

Answer rating: 100% (QA)

SOLUTION WE DENOTE yTOTAL FT JOBS ADDED x1 TOTAL WORLD WIDE REVENUES ... View the full answer