PSY 838 Quantitative Measures Data

Enter variables using the stepwise procedure.
2. Interpret the results and write the regression equation using the following format:
Y = (b1 x X1) + (b2 x Access the resource document "PSY 838 Quantitative Measures Data" and perform multiple regression on these data.
1. Enter X2) + (b3 x X3) + a, where a is the intercept, and the bs are regression coefficients.
In a statement of 200-250 words, describe what the data indicate about employee performance and coaching needs. Include the following in the statement:
1. A discussion of which of these employees may need coaching and which are performing at acceptable levels.
2. An explanation of which principles of consulting and coaching would most effectively be applied to improve organizational performance based on this data. (4.3)
State the regression equation you wrote above, and use the equation computed and the data obtained from those hired two years ago to make a decision about which two individuals should be offered the current positions. Justify your decision in a statement of 150-200 words.ATTACHMENT PREVIEW

To carry out a validation study, an I/O psychologist is developing a regression equation from data collected from those hired two years ago. Specifically, the I/O psychologist is examining the relationship between extraversion, cognitive skills, and communication ability on sales performance (the dependent measure). The data are given in the resource document "PSY 838 Quantitative Measures Data."

Currently, the same I/O psychologist must make a decision about which two applicants to hire for newly-created sales positions. There are 10 applicants for the two positions, who completed quantitative measures on the same predictors above.

In this assignment, you will perform the multiple regression analysis on the data from those hired two years ago. You will then use that information to make decisions regarding which of the current candidates should be hired.

General Requirements:

Use the following information to ensure successful completion of the assignment:

.Directions:

Access the resource document "PSY 838 Quantitative Measures Data" and perform multiple regression on these data.

1. Enter variables using the stepwise procedure.

2. Interpret the results and write the regression equation using the following format:

Y = (b1 x X1) + (b2 x X2) + (b3 x X3) + a, where a is the intercept, and the bs are regression coefficients.

In a statement of 200-250 words, describe what the data indicate about employee performance and coaching needs. Include the following in the statement:

1. A discussion of which of these employees may need coaching and which are performing at acceptable levels.

2. An explanation of which principles of consulting and coaching would most effectively be applied to improve organizational performance based on this data. (4.3)

State the regression equation you wrote above, and use the equation computed and the data obtained from those hired two years ago to make a decision about which two individuals should be offered the current positions. Justify your decision in a statement of 150-200 words.

PSY-838Quantitative Measures Data

To carry out a validation study, an I/O psychologist is developing a regression equation from data collected from those hired two years ago. Specifically, the I/O psychologist is examining the relationship between extraversion, cognitive skills, and communication ability on sales performance (the dependent measure). The data are shown below.

Extraversion	Cognitive Skills	Communication Ability	Sales Performance $
6	10	19	21000
5	10	14	21000
5	8	14	22000
3	7	13	15000
7	14	16	22000
4	9	11	17000
6	9	15	28000
5	9	10	19000
5	11	20	16000
5	10	17	18000

Currently, the same I/O psychologist must make a decision about which two applicants to hire for sales positions. There are 10 applicants for the position, who completed quantitative measures on the same predictors above.The data are shown below.

Applicant	Extraversion	Cognitive Skills	Communication Ability
John Smith	5	9	17
Jane Doe	4	6	11
Burt McIntyre	7	13	19
Elizabeth Reddin	3	5	7
James Golstein	6	12	15
Shawn George	4	10	7
Susan Williams	3	6	8
Jose Valencia	5	10	12
Levi Ogletree	6	14	20
Pat Sylvester	2	8	6