**Figure 1.2: Scatter plot**

**Linear Regression:**

**Research Question:**** **

Does average job satisfaction level of the year 2015 is a predictor of average job satisfaction level of the year 2016?

**Null Hypothesis: **Average job satisfaction level of the year 2015 is not a predictor of average job satisfaction level of the year 2016.

**Alternate Hypothesis: **Average job satisfaction level of the year 2015 is a predictor of average job satisfaction level of the year 2016.

**Regression Equation:**

Averages 2016 = 1.449 + 0.693 (Averages 2015)

On the basis of p value < 0.001 at 95% confidence level, there has been found the strong statistically significant evidences to reject null hypothesis that states average job satisfaction level of the year 2015 is not a predictor of average job satisfaction level of the year 2016. By accepting the alternative hypothesis that the average job satisfaction level of the year 2015 is a predictor of average job satisfaction level of the year 2016, it has been found that R square is 0.653 that indicates 65.3% data variability around its mean. Coefficient of independent variable 0.693 predict that when a year increases, job satisfaction level increases by 0.693 points while R square shows the accuracy of this prediction which is 65.3%.

**Table 1.4: Linear Regression**

Model Summary |
||||

Model | R | R Square | Adjusted R Square | Std. Error of the Estimate |

1 | .808^{a} |
.653 | .640 | .51926 |

a. Predictors: (Constant), Averages 2015 | ||||

b. Dependent Variable: Averages 2016 |

ANOVA |
||||||

Model | Sum of Squares | df | Mean Square | F | Sig. | |

1 | Regression | 14.187 | 1 | 14.187 | 52.618 | .000 ^{b} |

Residual | 7.550 | 28 | .270 | |||

Total | 21.737 | 29 | ||||

a. Dependent Variable: Averages 2016 | ||||||

b. Predictors: (Constant), Averages 2015 |

Coefficients |
||||||||

Model | Unstandardized Coefficients | Standardized Coefficients | t | Sig. | 95.0% Confidence Interval for B | |||

B | Std. Error | Beta | Lower Bound | Upper Bound | ||||

1 | (Constant) | 1.449 | .332 | 4.368 | .000 | .769 | 2.128 | |

Averages 2015 | .693 | .096 | .808 | 7.254 | .000 | .497 | .889 | |

a. Dependent Variable: Averages 2016 |

**Figure 1.3: Normal P-P Plot**

**One Way Anova:**

**Research Question:**

Is there a significant mean value differences among all three groups in the years 2015 and 2016?

**Null Hypothesis:** A mean value is same among all three groups in the years 2015 and 2016.

**Alternate Hypothesis:**A mean value is not same among all three groups in the year 2015 and 2016.

On the basis of p value < 0.001 at 95% confidence level, there has been found the strong statistically significant evidences to reject null hypothesis that states a mean value is same among all three groups in the years 2015 and 2016. By accepting the alternative hypothesis that a mean value is not same among all three groups in the year 2015 and 2016, it has been found that a mean value for three groups in the year 2015 are 4.565, 3.23 and 2.185 respectively while a mean value for three groups in the year 2016 are 4.565, 3.9 and 2.8 respectively.

**Table 1.5: One Way Anova**

Descriptive |
|||||||||

N | Mean | Std. Deviation | Std. Error | 95% Confidence Interval for Mean | Minimum | Maximum | |||

Lower Bound | Upper Bound | ||||||||

Averages 2015 | 1 | 10 | 4.5650 | .16841 | .05326 | 4.4445 | 4.6855 | 4.40 | 5.00 |

2 | 10 | 3.2300 | .16533 | .05228 | 3.1117 | 3.3483 | 3.00 | 3.50 | |

3 | 10 | 2.1850 | .24950 | .07890 | 2.0065 | 2.3635 | 1.75 | 2.55 | |

Total | 30 | 3.3267 | 1.00899 | .18422 | 2.9499 | 3.7034 | 1.75 | 5.00 | |

Averages 2016 | 1 | 10 | 4.5650 | .16841 | .05326 | 4.4445 | 4.6855 | 4.40 | 5.00 |

2 | 10 | 3.9000 | .64205 | .20303 | 3.4407 | 4.3593 | 3.15 | 4.50 | |

3 | 10 | 2.8000 | .45704 | .14453 | 2.4731 | 3.1269 | 2.15 | 3.15 | |

Total | 30 | 3.7550 | .86576 | .15807 | 3.4317 | 4.0783 | 2.15 | 5.00 |

ANOVA |
||||||

Sum of Squares | df | Mean Square | F | Sig. | ||

Averages 2015 | Between Groups | 28.462 | 2 | 14.231 | 361.978 | .000 |

Within Groups | 1.061 | 27 | .039 | |||

Total | 29.524 | 29 | ||||

Averages 2016 | Between Groups | 15.892 | 2 | 7.946 | 36.702 | .000 |

Within Groups | 5.845 | 27 | .216 | |||

Total | 21.737 | 29 |

Post Hoc (Tukey) Tests shows the multiple comparisons of all groups for both of the years and indicates that there is a significant mean differences among all groups at 0.05 significance level. By comparison of group means from 2015 to 2016, group 1 shows no difference in the mean from 2015 job satisfaction level to 2016 job satisfaction level while there has been found a difference between two years group means for group 2 and 3 as it can be seen in figure 1.4.

**Table 1.6: Post Ho c Tests**

Dependent Variable | (I) Job Satisfaction Survey Responses | (J) Job Satisfaction Survey Responses | Mean Difference (I-J) | Std. Error | Sig. | 95% Confidence Interval | |

Lower Bound | Upper Bound | ||||||

Averages 2015 | 1 | 2 | 1.33500^{*} |
.08867 | .000 | 1.1151 | 1.5549 |

3 | 2.38000^{*} |
.08867 | .000 | 2.1601 | 2.5999 | ||

2 | 1 | -1.33500^{*} |
.08867 | .000 | -1.5549 | -1.1151 | |

3 | 1.04500^{*} |
.08867 | .000 | .8251 | 1.2649 | ||

3 | 1 | -2.38000^{*} |
.08867 | .000 | -2.5999 | -2.1601 | |

2 | -1.04500^{*} |
.08867 | .000 | -1.2649 | -.8251 | ||

Averages 2016 | 1 | 2 | .66500^{*} |
.20808 | .010 | .1491 | 1.1809 |

3 | 1.76500^{*} |
.20808 | .000 | 1.2491 | 2.2809 | ||

2 | 1 | -.66500^{*} |
.20808 | .010 | -1.1809 | -.1491 | |

3 | 1.10000^{*} |
.20808 | .000 | .5841 | 1.6159 | ||

3 | 1 | -1.76500^{*} |
.20808 | .000 | -2.2809 | -1.2491 | |

2 | -1.10000^{*} |
.20808 | .000 | -1.6159 | -.5841 | ||

*. The mean difference is significant at the 0.05 level. |

**Figure 1.4: Bar Chart**

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