SOUTHLANDS COMPONENTS

Questions

Questions

Question 3:

University regression for Basic monthly pay for March 2004 and Age

Descriptive Statistics

Mean

Std. Deviation

N

Basic monthly pay for March 2004

1.2893E3

381.54125

400

Age

38.0400

8.97523

400

The above table provide descriptive statistic for the Basic monthly pay for March 2004 and age.

Model Summary

Model

R

R Square

Adjusted R Square

Std. Error of the Estimate

1

.365a

.133

.131

355.66373

a. Predictors: (Constant), Age

The Model Summary part of the output is most useful when we are performing multiple regression. Capital R is the multiple correlation coefficient that tells us how strongly the multiple independent variables are related to the dependent variable.

Coefficientsa

Model

Unstandardized Coefficients

Standardized Coefficients

t

Sig.

B

Std. Error

Beta

1

(Constant)

699.084

77.532

9.017

.000

Age

15.516

1.984

.365

7.821

.000

a. Dependent Variable: Basic monthly pay for March 2004

The Coefficients part of the output gives us the values that we need in order to write the regression equation. The regression equation will take the form:Predicted variable (dependent variable) = slope * independent variable + intercept

The model would be

Basic monthly pay for March 2004= 699.084 + 15.516* Age

University regression for Basic monthly pay for March 2004 and The number of complete years the worker has been employed by SCP

Descriptive Statistics

Mean

Std. Deviation

N

Basic monthly pay for March 2004

1.2886E3

381.77866

399

Yrsserv

10.0276

6.66399

399



Model Summary

Model

R

R Square

Adjusted R Square

Std. Error of the Estimate

1

.408a

.167

.165

348.96326

a. Predictors: (Constant), Yrsserv



Coefficientsa

Model

Unstandardized Coefficients

Standardized Coefficients

t

Sig.

B

Std. Error

Beta

1

(Constant)

1054.151

31.591

33.369

.000

Yrsserv

23.385

2.625

.408

8.909

.000

a. Dependent Variable: Basic monthly pay for March 2004

Basic monthly pay for March 2004= 1054.151+ 23.385 * The number of complete years the worker has been employed by SCP

University regression for Basic monthly pay for March 2004 and The level of education attained by the worker

Descriptive Statistics

Mean

Std. Deviation

N

Basic monthly pay for March 2004

1.2826E3

386.78117

373

Edlevel

2.4987

1.18600

373



Model Summary

Model

R

R Square

Adjusted R Square

Std. Error of the Estimate

1

.321a

.103

.101

366.77145

a. Predictors: (Constant), Edlevel



Coefficientsa

Model

Unstandardized Coefficients

Standardized Coefficients

t

Sig.

B

Std. Error

Beta

1

(Constant)

1020.814

44.337

23.024

.000

Edlevel

104.771

16.034

.321

6.534

.000

a. Dependent Variable: Basic monthly pay for March 2004

Basic monthly pay for March 2004= 1020.814 + 104.771* The level of education attained by the worker

University regression for Basic monthly pay for March 2004 and Number of days' training attended in twelve months to 28 February 2004

Descriptive Statistics

Mean

Std. Deviation

N

Basic monthly pay for March 2004

1.2893E3

381.54125

400

Daytrain

3.4575

2.68537

400

Model Summary

Model

R

R Square

Adjusted R Square

Std. Error of the Estimate

1

.064a

.004

.002

381.24708

a. Predictors: (Constant), Daytrain

Coefficientsa

Model

Unstandardized Coefficients

Standardized Coefficients

t

Sig.

B

Std. Error

Beta

1

(Constant)

1320.564

31.101

42.461

.000

Daytrain

-9.035

7.107

-.064

-1.271

.204

a. Dependent Variable: Basic monthly pay for March 2004

Basic monthly pay for March 2004= 1320.564 + -9.035 * Number of days' training attended in twelve months to 28 February 2004

Question 4:

From above scatter plot it can be figured out that there is strong correlation between Basic monthly pay for march 2004 and “Number of days' training attended in twelve months to 28 February 2004” and there is also a strong correlation between “Basic monthly pay for march 2004” and “The level of education attained by the worker”.

Regression Analysis

Variables Entered/Removedb

Model

Variables Entered

Variables Removed

Method

1

Daytrain, Edlevel, Yrsserv, Agea

.

Enter

a. All requested variables entered.

b. Dependent Variable: Basic monthly pay for March 2004

The above table tells us about the predictor variables and the method used. Here we can see that all of our predictor variables were entered simultaneously (because we selected the Enter method.

Descriptive Statistics

Mean

Std. Deviation

N

Basic monthly pay for March 2004

1.2819E3

387.03350

372

Age

37.3065

8.61314

372

Yrsserv

9.5108

6.34306

372

Edlevel

2.4973

1.18731

372

Daytrain

3.5161

2.69716

372

Correlations

Basic monthly pay for March 2004

Age

Yrsserv

Edlevel

Daytrain

Pearson Correlation

Basic monthly pay for March 2004

1.000

.370

.401

.321

-.060

Age

.370

1.000

.772

-.142

-.032

Yrsserv

.401

.772

1.000

-.127

-.064

Edlevel

.321

-.142

-.127

1.000

-.009

Daytrain

-.060

-.032

-.064

-.009

1.000

Sig. (1-tailed)

Basic monthly pay for March 2004

.

.000

.000

.000

.124

Age

.000

.

.000

.003

.271

Yrsserv

.000

.000

.

.007

.111

Edlevel

.000

.003

.007

.

.433

Daytrain

.124

.271

.111

.433

.

N

Basic monthly pay for March 2004

372

372

372

372

372

Age

372

372

372

372

372

Yrsserv

372

372

372

372

372

Edlevel

372

372

372

372

372

Daytrain

372

372

372

372

372

The above table gives details of the correlation between each ...