关于多ple Regression Model

Tansu

Hey there
I am about to get crazy.
I am trying to set up multiple linear regression, but at the end of the operations, the variables and their coefficients do not appear in the result section. It's just the slope result. So, I can't set up the regression equation.
I am following the path as retrieve fiile-set role (fix the variables)-cross validation-linear regression-apply model-performance regression

Please help.

Jerwuney

Hi Tansu

When you run your model, you should see "LinearRegression" tab among those tabs you will get at the results window. Click on it, and to its left, you should see three icons, 'Data', 'Description' and 'Annotations'. The variables with their coefficients are at the 'Description' icon.

注意,RapidMiner只会给你那些are important. Check that with your p-values and the code it attaches to each variable.

Best regards.

Tansu

Dear Jerwuney
Thank you for your comment. I really appreciate it.

However, I am having the same problem. I have followed the path you described but I only got root mean squared error, relative error, correlation which are already expected.
I have 6 variables affecting my dependent variable in my data set. When I chose particular one of them in set operator, I dont get any coefficient neither in the linear regression tab nor in description icon. Strangely enough, I get coefficients if I chose one of the remaining five. Thats the problem I cannot sort out. May I send you my data list through mail if possible?

Jerwuney

Hi@Tansu

Feel free to attach your data and model here. There are many others who are willing to add more aid.

You might be looking at the 'Performance' tab instead, thus, seeing only those correlation and others. Or maybe, you didn't connect the "model" node of your 'apply model' parameter to the output.

Please check well.

Regards,
Jerwuney

Tansu

Thank you dear Jerwuney
The data set is below.
My dependent value is the energy produced in the turbine.
Other 5 are independent variables.
As I said, when I take the energy produced in the turbine as dependent variable, no coefficient appears. However, when I take one of the remaining five, no problem occurs.
Also, I discovered something called generalized linear regression. I get coefficient by using that one. Is it the same as linear regression? Because, the prediction values seem pretty close to actual ones.
And one more thing:) Please show me the way to write the file in excel by using write excel operator. I couldnt figure out how to connect and what to connect.
I know, I am being a bit too much, but very curious. Sorry about that.

Air temperature cooler inlet	Cooler inlet relative humidity (%)	Air saturation pressure (mbar)	Air temperature cooler outlet	Aooler outlet relative humidity (%)	The energy produced in the turbine
24,5	73,3	971	24,2	88,53	217
24,8	72,7	969	23,58	93,52	217
25,3	67年,6	967	23,73	93,6	215
25,5	70,1	977	23,9	93,2	216
26	67,1	973	23,4	93,15	218
26,3	65,5	982	23,66	92,3	216
26,4	59,1	979	24,11	92,79	216
26,5	70,9	981	23,44	92,76	219
27,1	64,6	962	23,94	93,35	215
27,5	62,8	983	24,06	92,51	215
28,8	58,1	959	23,85	93,08	215
29,5	57,2	983	24,08	92,4	215
29,7	56,7	957	23,98	92,67	214
30,7	51,9	955	24,21	92,59	215
31,2	48,4	961	23,87	92,74	220
34	39,5	949	24,23	91,74	211
34	39,5	949	24,23	91,74	211
35,2	39,6	962	23,9	91,37	215
36,1	37,3	957	24,3	90,17	214
36,7	37,9	960	24,42	90,18	212
36,8	32,9	947	24,27	90,98	213
36,8	32,9	947	24,27	90,98	213
37	33,9	953	24,31	90,52	213
37,1	31,3	949	24,39	89,08	212
37,1	31,3	947	24,39	89,08	212
37,3	29,2	953	24,43	88,68	212
37,3	29,2	949	24,43	88,68	212
37,5	33,2	954	24,45	90,88	211
34	29,2	953	24,43	88,68	212
33,8	31,3	949	224,39	89,08	212
31,1	32,9	947	24,27	90,98	213
31,2	39,6	947	24,23	91,74	211
30,7	51,9	969	24,21	92,59	215
29,7	56,7	955	23,98	92,67	214
28,8	58,1	957	23,85	93,08	215
27,1	64,6	959	23,94	93,35	216
25,3	57,6	962	23,73	93,6	216
24,8	72,7	967	23,58	93,52	217
24,5	73,8	969	24,2	88,53	218
26	67,1	971	23,4	93,15	218
26,6	70,1	973	23,9	93,2	216
26,4	69,1	977	24,11	92,79	216
24,5	70,9	979	21,44	92,76	219
26,3	65,5	981	23,66	92,3	216
27,5	62,8	982	24,06	92,51	210
29,5	57,2	983	24,08	92,4	213
31,2	48,4	983	23,87	92,74	212
35,2	39,6	961	23,9	91,37	215
36,7	37,9	962	24,42	90,18	212
36,1	37,3	960	24,3	90,17	214
37,5	33,2	957	24,45	90,88	211
37	34,2	979	24,31	90,52	213
37,3	36,5	981	24,43	88,68	212
37,1	35,4	982	24,39	89,08	212
36,8	33,2	983	24,27	90,98	213
34	37,8	983	24,23	91,74	211
37.6	33.2	961	24.45	90.88	211
37	35	965	23,2	90.5	218
36.8	32.9	972	24,7	90.98	213
36.1	37.3	973	24,3	91.7	214
35.5	26,7	975	23.68	92,4	223
34	36,6	977	24,23	91,74	211
33.6	39,8	958	24,23	91,18	210
33	40	965	22,1	90	214
32.9	47.6	966	24.19	92.4	211
32.5	45	967	27	90	212
32	50	964	25,7	90	214
31.2	66.4	963	23.87	92.74	220
31	66.5	982	24	90	215
30	41	983	23,4	90	217
29,6	49	983	26	90	218
29,3	57.4	961	23.83	93.35	215
28,8	58.1	965	23.84	93.08	215
28,8	60,4	972	25	90	214
28,5	51	973	25	90	214
28,1	63,2	975	23,96	93,8	214
27,5	62,8	977	24,06	92,51	215
26,7	68,8	958	23,27	93,36	214
25	75	965	22	90	218
24,3	51,9	963	23,74	92,59	215
20,7	72	961	19	90	225
36,6	37,9	985	29,8	90	209
36,6	37,8	985	30,6	90	204
36,8	34,2	975	31	90	208
37	33,2	954	23,97	90,38	216
38,2	29,7	953	23,77	88,41	216
37,3	30,9	949	23,83	89,06	217
36,8	32,9	947	23,73	91,21	216
34	39,6	947	23,86	91,58	218
30,7	51,9	949	23,73	92,49	216
29,8	56,5	955	23,17	92,99	216
27,8	57,1	957	22,97	93,46	222
26,8	62,2	959	23,33	93,74	219
25,3	67年,6	962	23,03	93,53	222
24,9	70,3	957	22,75	93,85	221
24,5	74,5	969	22,83	94,02	222
26	67,1	971	22,36	93,28	220
26,6	70,1	973	23,16	93,58	220
26,4	69,1	977	22,96	93,02	220
26,4	31,2	979	22,18	93,28	220
24,5	65,2	979	22,24	93,58	220
25,9	63,2	981	23,08	93,92	222
28,1	57,4	982	23,11	93,88	222
29,3	48,6	983	23,08	93,23	221
31	41,4	983	23,46	93,05	221
32,9	40	984	23,744	93,17	220
32,9	40	984	23,43	92,78	222
32,9	40	985	23,63	84	221
33,8	38,6	985	23,63	92,17	220
32,1	47,6	986	23,15	93,18	220
25,3	67年,6	954	23,68	93,73	215
24,9	70,3	947	23,61	93,59	215
24,5	74,4	954	23,74	93,63	214
26,1	66	947	23,74	93,36	214
26,4	69,9	959	23,88	93,78	215
26,7	68,8	949	23,91	93,88	214
24,6	71	959	23,88	93,78	215
26	65,4	967	23,28	93,58	215
28,1	63,2	977	23,96	93,8	214
29,3	57,4	953	23,83	93,35	215
31	48,6	949	24	93,03	215
33,3	42,4	962	23,76	91,18	213
31	40,6	923	23,87	91,92	212
33,3	42,4	962	23,76	91,18	213
31	40,6	923	23,87	91,92	212
33,36	38,8	954	24,23	91,18	210
32,9	47,6	947	24,18	92,4	211
32,9	47,1	959	24,33	92,7	211
33,1	44岁的5	971	24,1	91,2	211
32,7	43,89	981	2,9	91,18	213
31,3	42,1	947	23,87	91,79	213
30,6	50,8	954	23,86	92,44	213
28,9	55,6	947	23,79	92,8	214
27,1	62,1	954	23,62	93,23	216
26,3	64,4	947	25,73	91,8	916
26,2	63,4	959	26,1	93	215

Jerwuney

Hi@Tansu

Please check here [https://community.www.turtlecreekpls.com/discussion/37047]on how to attach data and a model. It will make it easy for people to access.

For writing an excel file, you can find video tutorials on that [https://academy.www.turtlecreekpls.com/courses/data-loading-via-a-process]or even on YouTube.

Regards,
Jerwuney