This assignment asks you to perform several calculations and answer questions about your results.There are two data sets: Universal Toys and Bus Drivers. Both are provided for you in the data set folder for this week's lesson.

Use alpha = .05 for all questions.Refer to your results to answer the assignment questions.

Part I:Universal Toys (Assignment Questions 1-5)

This dataset contains 5 variables used for this assignment.

Label	Range of Possible Values
ConscT1	1-10
CogAbil	80-130
Hiring Mgr	1-7
HR Mgr	1-7
Performance	10-50

1. Run a regression analysis using conscientiousness (ConscT1), cognitive ability (CogAbil),unstructuredinterview with hiring manager (Hiring Mgr), and structured interview with HR Manager (HR Mgr) to predict performance ratings (Performance) at Universal Toys.
   1. Evaluate the results of the overall model. Is it a valid model? How do you know? What is the R-square value and what does it mean?
   2. Nowevaluate the predictors. Indicate which ones arestatistically significant and which ones are not.
   3. If any predictors are not significant, drop them and re-run the equation.
2. Calculate the predicted performance for each of the 2 job candidates below, as appropriate. In other words, only use the model if it is valid and only include statistically significant predictors in your model and equation.

Candidate	ConscT1	CogAbil	HiringMgr	HRMgr
Janice	1	100	3	2
Michael	2	90	6	3

Part II: Bus Drivers (Assignment Questions 6-10)

This dataset contains 4 variables used for this assignment.

Label	Range of Possible Values
Risky Beh	1-20
Focus	1-20
Driving Know	0-100
Performance	1-10

1. Run a regression analysis using risky behavior tendency (Risky Beh), ability to focus (Focus), andbus driving knowledge (Driving Know), to predict performance ratings (Performance) for bus drivers.
   1. Evaluate the results of the overall model. Is it a valid model? How do you know? What is the R-square value and what does it mean?
   2. Nowevaluate the predictors. Indicate which ones arestatistically significant and which ones are not.
   3. If any predictors are not significant, drop them and re-run the equation.
2. Calculate the predicted performance for each of the 2 job candidates below, as appropriate. In other words, only use the model if it is valid and only include statistically significant predictors in your model and equation.

Candidate	RiskyBeh	Focus	Driving Know
Robert	3	17	50
Suszanne	10	18	90

QUESTION 1

1. Using the Universal Toys data as described in Part I,#1 of the assignment, is this a valid model and how do you know?

		Yes,it's a valid model because p<.05.
		Yes,it's a valid model because R-square is less than .50.
		No,it's NOT a valid model because p<.05.
		No,it's NOTa valid model because p>.05.

1 points

QUESTION 2

1. Using the Universal Toys data as described in Part I,#1of the assignment,what is the R-square value and what does it mean?

		.40, 40% of the variance in the predictor variables is explained by performance.
		.40; 40% of the variance in performance is explained by the predictor variables.
		.63; 63% of the variance in the predictor variables is explained by performance.
		.63; 63% of the variance in performance is explained by the predictor variables.

1 points

QUESTION 3

1. Using the Universal Toys data as described in Part I,#1of the assignment,which of the predictor(s),if any, are statistically significant using alpha =.05?

		None of the predictors are statistically significant.
		Cog Abilis statistically significant.
		ConscT1, Cog Abil, and HR Mgr arestatistically significant.
		ConscT1 and HR Mrg arestatistically significant.

1 points

QUESTION 4

1. Using the Universal Toys data, calculate thepredicted performance score for Janice?Remember to drop any non-significant predictors and re-run the analysis to get an updated regression line before calculating predicted scores.

1 points

QUESTION 5

1. Using the Universal Toys data,calculate thepredicted performance score for Michael?Remember to drop any non-significant predictors and re-run the analysis to get an updated regression line before calculating predicted scores.

1 points

QUESTION 6

1. Using the Bus Driver data as described in Part II,#1 of the assignment, is this a valid model and how do you know?

		Yes,it's a valid model because p<.05.
		Yes,it's a valid model because R-square is less than .50.
		No,it's NOT a valid model because p<.05.
		No,it's NOTa valid model because p>.05.

1 points

QUESTION 7

1. Using the Bus Driver data as described in Part II,#1of the assignment,what is the R-square value and what does it mean?

		.15, 15% of the variance in the predictor variables is explained by performance.
		.15; 15% of the variance in performance is explained by the predictor variables.
		.001; .01% of the variance in the predictor variables is explained by performance.
		.001; .01% of the variance in performance is explained by the predictor variables.

1 points

QUESTION 8

1. Which of the predictor(s), if any,is statistically significant using alpha =.05 ?

		None of the predictors are statistically significant.
		Risky Beh and Driving Know are statistically significant.
		Focus and Driving Know are statistically significant.
		All of the predictors are statistically significant.

1 points

QUESTION 9

1. Using the Bus Driver data, calculate thepredicted performance score for Robert.Remember to drop any non-significant predictors and re-run the analysis to get an updated regression line before calculating predicted scores.

1 points

QUESTION 10

1. Using the BusDriverdata,calculatethepredicted performance score forSuszanne.Remember to drop any non-significant predictors and re-run the analysis to get an updated regression line before calculating predicted scores.