Chat with us, powered by LiveChat Take the dataset dataset_assignment1.xls? and, using SPSS, run the same regression as we did in class (with health, age, and mo - Writeedu

Take the dataset dataset_assignment1.xls? and, using SPSS, run the same regression as we did in class (with health, age, and mo

Take the dataset “dataset_assignment1.xls” and, using SPSS, run the same regression as we did in class (with health, age, and motivation as independent variables). Then compare the results to those shown on the slides (slide # 37).

Copy the relevant tables from the SPSS output into a Word document and explain/discuss your results (and the differences to those produced in class). Submit the document as a One PDF page.

37Quant. Methods 1 (M. Messner)

Hypotheses in OLS regression

Productivity (person i) = ß0 + ß1* Health (i) + ß2 * Age (i) + ß3* Motivation (i) + u(i)

Coefficients:

Estimate Std. Error t value Pr(>|t|)

(Intercept) 87.3750 54.2176 1.612 0.168 Health 0.3699 0.4175 0.886 0.416 Age -0.6697 0.5406 -1.239 0.270 Motivation -0.3754 0.3588 -1.046 0.343

Residual standard error: 9.923 on 5 degrees of freedom Multiple R-squared: 0.4418, Adjusted R-squared: 0.1069 F-statistic: 1.319 on 3 and 5 DF, p-value: 0.366

nasseralajmi
Sticky Note
Nasser Alajmi

,

Tabelle1

Person Productivity Health Age Motivation
1 40 80 50 80
2 50 85 59 90
3 60 88 46 90
4 45 76 58 65
5 70 78 43 65
6 55 67 59 70
7 44 60 61 78
8 36 65 55 80
9 50 70 44 90
10 40 80 50 80
11 50 85 59 90
12 60 88 46 90
13 45 76 58 65
14 70 78 43 65
15 55 67 59 70
16 44 60 61 78
17 36 65 55 80
18 50 70 44 90
19 40 80 50 80
20 50 85 59 90
21 60 88 46 90
22 45 76 58 65
23 70 78 43 65
24 55 67 59 70
25 44 60 61 78
26 36 65 55 80
27 50 70 44 90

,

22Quant. Methods 1 (M. Messner)

Regression in SPSS

SPSS:

Enter variable names and then all data points for these variables

Menu: Analyze  Regression  Linear

Then enter dependent and independent variables

Nasser Alajmi

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