The human resource manager of company wanted to know how the Performance of the workers depend on Environment, Value, Motivation and Remuneration. He selected 100 workers randomly and used a questionnaire to obtain the scores on their perceived Environment, Value, Motivation and Remuneration. The final score on each variable ranged from 1 to 10, where a high score is supposed to be associated with high performance. In the study, the key performance index (KPI) was used as the indicator of worker performance. The following are some of the outputs from SPSS. What are the significant predictor(s) of Performance? Predict the Performance for a customer with the following scores: Environment =7, Value=4, Motivation=5 and Remuneration=6.

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The human resource manager of company wanted to know how the Performance of the workers depend on Environment, Value, Motivation and Remuneration. He selected 100 workers randomly and used a questionnaire to obtain the scores on their perceived Environment, Value, Motivation and Remuneration. The final score on each variable ranged from 1 to 10, where a high score is supposed to be associated with high performance. In the study, the key performance index (KPI) was used as the indicator of worker performance. The following are some of the outputs from SPSS.

  1. What are the significant predictor(s) of Performance?
  2. Predict the Performance for a customer with the following scores: Environment =7, Value=4, Motivation=5 and Remuneration=6.        
Table 15
Collinearity
Unstandardized Standardized
Coefficients
B
Model
t
Sig.
Coefficients
Statistics
SE
Beta
Tolerance VIF
-2.03 .043
14.40 .000
18.12 .000
2.99 .003
1.82 .070
(Constant)
-6.994
3.432
.552
.796 1.256
.931 1.074
.904 1.106
.768 1.301
Environment
3.578
.248
Value
7.680
.424
.642
Motivation
1.257
.419
.108
Remuneration
.403
.221
.071
Transcribed Image Text:Table 15 Collinearity Unstandardized Standardized Coefficients B Model t Sig. Coefficients Statistics SE Beta Tolerance VIF -2.03 .043 14.40 .000 18.12 .000 2.99 .003 1.82 .070 (Constant) -6.994 3.432 .552 .796 1.256 .931 1.074 .904 1.106 .768 1.301 Environment 3.578 .248 Value 7.680 .424 .642 Motivation 1.257 .419 .108 Remuneration .403 .221 .071
Table 13
1
2
3
4
1. Performance
1.000
.559
.701
.256
.192
2. Environment
.559
1.000
.067
.034
.448
Pearson
3. Value
4. Motivation
5. Remuneration
.701
.067
1.000
.241
.055
Correlation
.256
.034
.241
1.000
.177
.192
.448
.055
.177
1.000
Table 14
Model
Sum of
df
Mean
F
Sig.
Squares
12353.575
Square
3088.394 165.249
Regression
4
.000
Residual
3644.425
195
18.689
Total
15998.000
199
a. Dependent Variable: Performance
5.
Transcribed Image Text:Table 13 1 2 3 4 1. Performance 1.000 .559 .701 .256 .192 2. Environment .559 1.000 .067 .034 .448 Pearson 3. Value 4. Motivation 5. Remuneration .701 .067 1.000 .241 .055 Correlation .256 .034 .241 1.000 .177 .192 .448 .055 .177 1.000 Table 14 Model Sum of df Mean F Sig. Squares 12353.575 Square 3088.394 165.249 Regression 4 .000 Residual 3644.425 195 18.689 Total 15998.000 199 a. Dependent Variable: Performance 5.
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