Giving the attached table how would I go about finding the following on Gretl, (the statistics application,) and what information on the table is pertinent to use
2. Definition and descriptive statistics
2A. The endogenous variable
- Definition, measurement unit, data source
- descriptive statistics: mean, standard deviation, minimum and maximum values
- comments
2B. For each explanatory variable, x_k
- Definition, measurement unit, data source
- graph scatterplot between y and each explanatory variable
- descriptive statistics: mean, standard deviation, minimum and maximum values, simple correlation
coefficient between y and x_k
- comments
3. OLS Estimation: Estimate y with respect to 2 explanatory variables X1, X2
3A. Estimation
Estimation of the model (model 1): give the results of the regression
3B. Global significance of the model
3C. Tests on the coefficients
- t-test of significance for each coefficient (a_1 and a_2): t*, critical value, conclusion
- comments on the sign, size and significance of each coefficient
- t-test of equality (H0: a_1=a_2)
4. Tests
4A. Chow F-test
- Justify the subsamples, write the models and the null hypothesis
- Estimation of both models: give the results of the regressions
- Perform the test: F*, critical value, conclusion and comments
4B. F-Test for adding variables
- Justify the use of the additional variable (the binary variable), write the new model and the null
hypothesis
- Estimation of the model (model 2): give the results of the regression
- Perform the test: F*, critical value, conclusion and comments
- Conclude on which model to prefer: model 1 or 2
|
Table 1General characteristics of people with epilepsy according to physical activity levels (n = 101). |
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|
Characteristics |
Physical activity |
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|
Inactive |
Insufficiently active |
Active |
p value |
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|
Age (years) |
35 ± 17 |
32 ± 17 |
31 ± 17 |
0.57α |
|
|
Sex (%) |
0.61£ |
||||
|
Male |
51.4 |
42.9 |
55.6 |
||
|
Female |
48.7 |
57.1 |
44.4 |
||
|
Skin color (%) |
0.41£ |
||||
|
White |
70.2 |
50.0 |
55.6 |
||
|
Black |
13.5 |
25.0 |
27.8 |
||
|
Brown |
16.2 |
25.0 |
16.7 |
||
|
Welfare (%) |
0.09£ |
||||
|
Yes |
27.0 |
32.1 |
11.1 |
||
|
No |
73.0 |
67.9 |
88.9 |
||
|
Seizure type (%) |
0.05£ |
||||
|
Generalized |
26.2 |
28.6 |
45.2 |
||
|
Focal |
50.0 |
50.0 |
00.0 |
||
|
Focal secondarily generalized |
57.6 |
21.2 |
21.2 |
||
|
Unknown |
40.0 |
40.0 |
20.0 |
||
|
Etiology (%) |
0.04£ |
||||
|
Idiopathic |
22.7 |
22.7 |
54.5 |
||
|
Symptomatic |
54.2 |
16.7 |
29.2 |
||
|
Unknown |
42.1 |
36.8 |
21.0 |
||
|
Number of seizure during life (%) |
0.58£ |
||||
|
≤15 seizures |
33.3 |
33.3 |
44.1 |
||
|
>15 seizures |
66.7 |
66.7 |
55.9 |
||
|
Duration of epilepsy (%) |
0.81£ |
||||
|
≤15 years |
48.6 |
53.9 |
57.1 |
||
|
>15 years |
51.4 |
46.1 |
42.9 |
||
|
Treatment (%) |
0.07£ |
||||
|
Monotherapy |
57.6 |
57.1 |
81.3 |
||
|
Polytherapy |
42.4 |
42.9 |
18.8 |
||
|
Active epilepsy (%) |
0.14£ |
||||
|
Yes |
70.3 |
78.6 |
55.6 |
||
|
No |
29.7 |
21.4 |
44.4 |
||
|
Seizure control (%) |
0.09£ |
||||
|
Controlled |
48.6 |
44.0 |
75.0 |
||
|
Not always controlled |
25.7 |
32.0 |
11.1 |
||
|
Not controlled |
25.7 |
24.0 |
13.9 |
||
|
Smoking (%) |
0.44£ |
||||
|
Never |
59.5 |
78.6 |
69.4 |
||
|
Ex-smoker |
21.6 |
10.7 |
22.2 |
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|
Smoker |
18.9 |
10.7 |
8.3 |
||
Results above expressed as mean ± SD or percentages
