Investigating the Effects of Gender on Education Levels
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Business Statistics

University: UNIVERSITI TEKNOLOGI MALAYSIA

  • Unit No: N/A
  • Level: High school
  • Pages: 7 / Words 1774
  • Paper Type: Assignment
  • Course Code: SHAC 2133
  • Downloads: 156

Multiple Regression

H0: There is no significant difference between gender and type of services provided (Tahap Pendidikan)

H1: There is a significant difference between gender and type of services provided (Tahap Pendidikan) 

SUMMARY OUTPUT

             
                 

Regression Statistics

             

Multiple R

0.048392

             

R Square

0.002342

             

Adjusted R Square

-0.02324

             

Standard Error

0.90338

             

Observations

41

             
                 

ANOVA

               

 

df

SS

MS

F

Significance F

     

Regression

1

0.074708

0.074708

0.091543

0.763832

     

Residual

39

31.82773

0.816096

         

Total

40

31.90244

 

 

 

     
                 

 

Coefficients

Standard Error

t Stat

P-value

Lower 95%

Upper 95%

Lower 95.0%

Upper 95.0%

Intercept

3.084034

0.461082

6.688692

5.75E-08

2.151408

4.016659

2.151408

4.016659

Gender

-0.11345

0.374951

-0.30256

0.763832

-0.87185

0.644964

-0.87185

0.644964

                 
                 
                 

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Interpretation

Regression is one of the most important methods that is used to identify whether there is a significant relationship between variables in case there is a dependent relationship between variables. It can be seen from the table given above that the value of the level of significance is 0.76>0.05, which means that there is no significant difference between variables. This means that with a change in the independent variable, no significant change will come in the dependent variable. In the present case, an independent variable is gender, and the type of services provided is dependent. Thus, it can be said that the gender factor does not play any role in the sort of services that one will provide to the people in the market. It can be said that males and females both are equally providing services to the people in the market and with a gender change, the type of services provided does not change significantly.

H0: There is not a significant impact of gender on the level of education an individual receives.

H1: There is a significant impact of gender on the level of education an individual receives. 

Read Also: https://www.assignmentdesk.co.uk/free-samples/statistics/statistics-and-research-methods-for-business

SUMMARY OUTPUT

             
                 

Regression Statistics

             

Multiple R

0.278198

             

R Square

0.077394

             

Adjusted R Square

0.053737

             

Standard Error

0.929073

             

Observations

41

             
                 

ANOVA

               

 

df

SS

MS

F

Significance F

     

Regression

1

2.823939

2.823939

3.271568

0.078205

     

Residual

39

33.66387

0.863176

         

Total

40

36.4878

 

 

 

     
                 

 

Coefficients

Standard Error

t Stat

P-value

Lower 95%

Upper 95%

Lower 95.0%

Upper 95.0%

Intercept

1.890756

0.474195

3.987296

0.000284

0.931606

2.849906

0.931606

2.849906

Gender

0.697479

0.385614

1.808748

0.078205

-0.0825

1.477458

-0.0825

1.477458

 

Interpretation

The value of the level of significance is 0.07>0.05, which means that the independent variable has a significant impact on the dependent variable. In the present case, the independent variable is the gender factor, and the level of education is the dependent variable. Statistics reflect that with a change in gender factors, the level of education people receive does not change significantly. Hence, males and females receive the same education.

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