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R Software Module

esteq.wasp

Title produced by software

Estimate Equation

Date of computation

Thu, 13 Mar 2008 15:57:25 -0600

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Mar/13/t1205445801svbmvk24szxhvuf.htm/, Retrieved Sat, 18 May 2024 06:23:10 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=10069, Retrieved Sat, 18 May 2024 06:23:10 +0000

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333

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-       [Estimate Equation] [mincer's equation] [2008-03-13 21:57:25] [d41d8cd98f00b204e9800998ecf8427e] [Current]

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Dataseries X:

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12	30	900	4.716003344
14	23	529	4.206825876
14	31	961	4.698970004
12	33	1089	4.620136055
14	1	1	3.763427994
18	24	576	4.477121255
18	20	400	4.544068044
12	28	784	4.264817823
14	30	900	4.096910013
14	40	1600	5.51054501
9	7	49	4.424881637
12	46	2116	4.338456494
14	23	529	4.113943352
11	3	9	3.602059991
14	13	169	3.380211242
12	16	256	4.602059991
12	16	256	4.06069784
11	17	289	5.079181246
14	21	441	3.681241237
12	26	676	3.322219295
-6	0	0	#NUM!
-6	0	0	#NUM!
-6	0	0	#NUM!
-6	0	0	#NUM!
-6	0	0	#NUM!
-6	0	0	#NUM!
-6	0	0	#NUM!
-6	0	0	#NUM!
-6	0	0	#NUM!
-6	0	0	#NUM!
-6	0	0	#NUM!
10	6	36	4.397940009
14	22	484	4.748188027
14	13	169	4.079181246
14		0	4.041392685
11	1	1	2.903089987
14	26	676	4.301029996
14	6	36	4.361727836
14	23	529	3.255272505
18	38	1444	4.77815125
12	27	729	4.344392274
16	25	625	4.204119983
14	31	961	4.826074803
14	-2	4	3.698970004
14	29	841	4.755874856
11	1	1	3.301029996
14	5	25	4.544068044
18	32	1024	5.51054501
20	22	484	5.096910013
	34	1156	4.276461804
12	33	1089	4.204119983
12	33	1089	4.792391689
18	29	841	4.653212514
16	22	484	4.439332694
12		0	3.397940009
14	19	361	4.612783857
14	13	169	3.477121255
12	7	49	4.204119983
14	11	121	4.176091259
9	36	1296	4.397940009
16	15	225	4.556302501
14	64	4096	4.450249108
14	17	289	4.556302501
16	46	2116	5.113943352
14	24	576	4.556302501
12	10	100	4.079181246
16	24	576	4.342422681
11	0	0	3.698970004
18	24	576	4.480006943
12	13	169	4.158362492
14	12	144	4.394451681
12	40	1600	4.755874856
12	40	1600	4.342422681
9	35	1225	3.84509804
16	23	529	4.371067862
12	2	4	3.819543936
12	1	1	4.305351369
14	30	900	4.562292864
14	26	676	4.334453751
16	31	961	5
12	30	900	3.986771734
10	38	1444	4
12			4.079181246
14	10	100	4.592176757
16	35	1225	4.309630167
12	1	1	3.69019608
9	37	1369	5
14	19	361	4.544068044
14	20	400	4
14	35	1225	4.568201724
14	14	196	3.903089987
14	23	529	4
14	25	625	3.77815125
12	13	169	4.477121255
12	6	36	4.008600172
12	1	1	3.77815125
12	22	484	3.903089987
16	12	144	4.418301291
12	15	225	4.477121255
9			
20	54	2916	3.903089987
16	24	576	4.531478917
16	31	961	4.439332694
10	4	16	2.698970004
	1	1	
12	6	36	4.544068044
12	1	1	3.380211242
11	1	1	3.785329835
12	3	9	3.954242509
14	37	1369	4.86923172
20	22	484	4.491361694
14	7	49	3.819543936
11	21	441	4.225309282
12	26	676	4.457881897
12	17	289	4.079181246
14	16	256	4.025305865
16	5	25	3.681241237
14	2	4	4.079181246
14	3	9	4
9	45	2025	3.77815125
9	28	784	4.924279286
14	6	36	4.475671188
12	53	2809	5.51054501
12	16	256	4.079181246
10	29	841	3.462397998
20	23	529	5
14	9	81	4.544068044
20	32	1024	4.944482672
20	30	900	4.806179974
12	23	529	4.579783597
14	37	1369	4.763427994
14	21	441	4.079181246
16	1	1	4.322219295
14	20	400	4.698970004
12	25	625	4.041392685
14	26	676	3.959041392
16	6	36	4.445604203
14	24	576	4.477121255
14	21	441	3.851258349
14	28	784	4.653212514
14	1	1	3.079181246
14	32	1024	4.315970345
12	44	1936	4.606381365
12	12	144	5.071882007
14	39	1521	4.755874856
16	46	2116	4.40654018
16	20	400	4.903089987
14	22	484	4.602059991
14	4	16	3.929418926
12	20	400	4.414973348
11	22	484	4.414973348
16	27	729	4.037426498
14	25	625	4.665580991
18	27	729	4.450249108
14	5	25	4.322219295
12	38	1444	4.579783597
11	3	9	4

Multiple Linear Regression - Estimated Regression Equation
loginc[t] = +0.14607466656711 school[t] +0.071013289680133 workexp[t] -0.0009209268892321 work2[t] +1.2616331063481 + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline

loginc[t] = +0.14607466656711 school[t] +0.071013289680133 workexp[t] -0.0009209268892321 work2[t] +1.2616331063481 + e[t] \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=10069&T=0

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW]

loginc[t] = +0.14607466656711 school[t] +0.071013289680133 workexp[t] -0.0009209268892321 work2[t] +1.2616331063481 + e[t][/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=10069&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=10069&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Multiple Linear Regression - Estimated Regression Equation
loginc[t] = +0.14607466656711 school[t] +0.071013289680133 workexp[t] -0.0009209268892321 work2[t] +1.2616331063481 + e[t]

Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.E.	T-STATH0: parameter = 0	2-tail p-value	1-tail p-value
school[t]	0.146075	0.012373	11.806263	0	0
workexp[t]	0.071013	0.013131	5.408212	0	0
work2[t]	-0.000921	0.00027	-3.409394	0.000833	0.000416
Constant	1.261633	0.148702	8.484319	0	0

Variable	Elasticity	S.E.^*	T-STATH0: \|elast\| = 1	2-tail p-value	1-tail p-value
%school[t]	0.456123	0.038634	-14.077667	0	0
%workexp[t]	0.351373	0.06497	-9.983424	0	0
%work2[t]	-0.1344	0.03942	-21.958171	0	0
%Constant	0.326903	0.03853	-17.469308	0	0
Variable	Stand. Coeff.	S.E.^*	T-STATH0: coeff = 0	2-tail p-value	1-tail p-value
S-school[t]	0.601456	0.050944	11.806263	0	0
S-workexp[t]	0.72534	0.134118	5.408212	0	0
S-work2[t]	-0.433508	0.127151	-3.409394	0.000833	0.000416
S-Constant	0	0	0	1	0.5
^*Note	computed against deterministic endogenous series
Variable	Partial Correlation
school[t]	0.690451
workexp[t]	0.40061
work2[t]	-0.265724
Constant	0.565642
Critical Values (alpha = 5%)
1-tail CV at 5%	1.65
2-tail CV at 5%	1.96

\begin{tabular}{lllllllll}
\hline

Multiple Linear Regression - Ordinary Least Squares \tabularnewline

Variable

Parameter

S.E.

T-STATH0: parameter = 0

2-tail p-value

1-tail p-value \tabularnewline school[t]

0.146075

0.012373

11.806263

0 \tabularnewline workexp[t]

0.071013

0.013131

5.408212

0 \tabularnewline work2[t]

-0.000921

0.00027

-3.409394

0.000833

0.000416 \tabularnewline Constant

1.261633

0.148702

8.484319

0 \tabularnewline \tabularnewline

Variable

Elasticity

S.E.^*

T-STATH0: |elast| = 1

2-tail p-value

1-tail p-value \tabularnewline %school[t]

0.456123

0.038634

-14.077667

0 \tabularnewline %workexp[t]

0.351373

0.06497

-9.983424

0 \tabularnewline %work2[t]

-0.1344

0.03942

-21.958171

0 \tabularnewline %Constant

0.326903

0.03853

-17.469308

0 \tabularnewline

Variable

Stand. Coeff.

S.E.^*

T-STATH0: coeff = 0

2-tail p-value

1-tail p-value \tabularnewline S-school[t]

0.601456

0.050944

11.806263

0 \tabularnewline S-workexp[t]

0.72534

0.134118

5.408212

0 \tabularnewline S-work2[t]

-0.433508

0.127151

-3.409394

0.000833

0.000416 \tabularnewline S-Constant

0.5 \tabularnewline ^*Note

computed against deterministic endogenous series \tabularnewline

Variable

Partial Correlation \tabularnewline school[t]

0.690451 \tabularnewline workexp[t]

0.40061 \tabularnewline work2[t]

-0.265724 \tabularnewline Constant

0.565642 \tabularnewline Critical Values (alpha = 5%) \tabularnewline 1-tail CV at 5%

1.65 \tabularnewline 2-tail CV at 5%

1.96 \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=10069&T=1

[TABLE]

[ROW][C]Multiple Linear Regression - Ordinary Least Squares[/C][/ROW]

[ROW]

Variable[/C]

Parameter[/C]

S.E.[/C]

T-STATH0: parameter = 0[/C]

2-tail p-value[/C]

1-tail p-value[/C][/ROW] [ROW][C]school[t][/C]

0.146075[/C]

0.012373[/C]

11.806263[/C]

0[/C]

0[/C][/ROW] [ROW][C]workexp[t][/C]

0.071013[/C]

0.013131[/C]

5.408212[/C]

0[/C]

0[/C][/ROW] [ROW][C]work2[t][/C]

-0.000921[/C]

0.00027[/C]

-3.409394[/C]

0.000833[/C]

0.000416[/C][/ROW] [ROW][C]Constant[/C]

1.261633[/C]

0.148702[/C]

8.484319[/C]

0[/C]

0[/C][/ROW] [ROW][C][/C][/ROW] [ROW]

Variable[/C]

Elasticity[/C]

S.E.^*[/C]

T-STATH0: |elast| = 1[/C]

2-tail p-value[/C]

1-tail p-value[/C][/ROW] [ROW][C]%school[t][/C]

0.456123[/C]

0.038634[/C]

-14.077667[/C]

0[/C]

0[/C][/ROW] [ROW][C]%workexp[t][/C]

0.351373[/C]

0.06497[/C]

-9.983424[/C]

0[/C]

0[/C][/ROW] [ROW][C]%work2[t][/C]

-0.1344[/C]

0.03942[/C]

-21.958171[/C]

0[/C]

0[/C][/ROW] [ROW][C]%Constant[/C]

0.326903[/C]

0.03853[/C]

-17.469308[/C]

0[/C]

0[/C][/ROW] [ROW]

Variable[/C]

Stand. Coeff.[/C]

S.E.^*[/C]

T-STATH0: coeff = 0[/C]

2-tail p-value[/C]

1-tail p-value[/C][/ROW] [ROW][C]S-school[t][/C]

0.601456[/C]

0.050944[/C]

11.806263[/C]

0[/C]

0[/C][/ROW] [ROW][C]S-workexp[t][/C]

0.72534[/C]

0.134118[/C]

5.408212[/C]

0[/C]

0[/C][/ROW] [ROW][C]S-work2[t][/C]

-0.433508[/C]

0.127151[/C]

-3.409394[/C]

0.000833[/C]

0.000416[/C][/ROW] [ROW][C]S-Constant[/C]

0[/C]

1[/C]

0.5[/C][/ROW] [ROW][C]^*Note[/C]

computed against deterministic endogenous series[/C][/ROW] [ROW]

Variable[/C]

Partial Correlation[/C][/ROW] [ROW][C]school[t][/C]

0.690451[/C][/ROW] [ROW][C]workexp[t][/C]

0.40061[/C][/ROW] [ROW][C]work2[t][/C]

-0.265724[/C][/ROW] [ROW][C]Constant[/C]

0.565642[/C][/ROW] [ROW][C]Critical Values (alpha = 5%)[/C][/ROW] [ROW][C]1-tail CV at 5%[/C]

1.65[/C][/ROW] [ROW][C]2-tail CV at 5%[/C]

1.96[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=10069&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=10069&T=1

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.E.	T-STATH0: parameter = 0	2-tail p-value	1-tail p-value
school[t]	0.146075	0.012373	11.806263	0	0
workexp[t]	0.071013	0.013131	5.408212	0	0
work2[t]	-0.000921	0.00027	-3.409394	0.000833	0.000416
Constant	1.261633	0.148702	8.484319	0	0

Variable	Elasticity	S.E.^*	T-STATH0: \|elast\| = 1	2-tail p-value	1-tail p-value
%school[t]	0.456123	0.038634	-14.077667	0	0
%workexp[t]	0.351373	0.06497	-9.983424	0	0
%work2[t]	-0.1344	0.03942	-21.958171	0	0
%Constant	0.326903	0.03853	-17.469308	0	0
Variable	Stand. Coeff.	S.E.^*	T-STATH0: coeff = 0	2-tail p-value	1-tail p-value
S-school[t]	0.601456	0.050944	11.806263	0	0
S-workexp[t]	0.72534	0.134118	5.408212	0	0
S-work2[t]	-0.433508	0.127151	-3.409394	0.000833	0.000416
S-Constant	0	0	0	1	0.5
^*Note	computed against deterministic endogenous series
Variable	Partial Correlation
school[t]	0.690451
workexp[t]	0.40061
work2[t]	-0.265724
Constant	0.565642
Critical Values (alpha = 5%)
1-tail CV at 5%	1.65
2-tail CV at 5%	1.96

Multiple Linear Regression - Regression Statistics
Multiple R	0.840614
R-squared	0.706632
Adjusted R-squared	0.70088
F-TEST	122.843318
Observations	157
Degrees of Freedom	153
Multiple Linear Regression - Residual Statistics
Standard Error	0.757064
Sum Squared Errors	87.691226
Log Likelihood	-177.053069
Durbin-Watson	1.908964
Von Neumann Ratio	1.921201
# e[t] > 0	84
# e[t] < 0	73
# Runs	67
Stand. Normal Runs Statistic	-1.949568

\begin{tabular}{lllllllll}
\hline

Multiple Linear Regression - Regression Statistics \tabularnewline

Multiple R

0.840614 \tabularnewline R-squared

0.706632 \tabularnewline Adjusted R-squared

0.70088 \tabularnewline F-TEST

122.843318 \tabularnewline Observations

157 \tabularnewline Degrees of Freedom

153 \tabularnewline Multiple Linear Regression - Residual Statistics \tabularnewline Standard Error

0.757064 \tabularnewline Sum Squared Errors

87.691226 \tabularnewline Log Likelihood

-177.053069 \tabularnewline Durbin-Watson

1.908964 \tabularnewline Von Neumann Ratio

1.921201 \tabularnewline # e[t] > 0

84 \tabularnewline # e[t] < 0

73 \tabularnewline # Runs

67 \tabularnewline Stand. Normal Runs Statistic

-1.949568 \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=10069&T=2

[TABLE]

[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]

[ROW][C]Multiple R[/C]

0.840614[/C][/ROW] [ROW][C]R-squared[/C]

0.706632[/C][/ROW] [ROW][C]Adjusted R-squared[/C]

0.70088[/C][/ROW] [ROW][C]F-TEST[/C]

122.843318[/C][/ROW] [ROW][C]Observations[/C]

157[/C][/ROW] [ROW][C]Degrees of Freedom[/C]

153[/C][/ROW] [ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW] [ROW][C]Standard Error[/C]

0.757064[/C][/ROW] [ROW][C]Sum Squared Errors[/C]

87.691226[/C][/ROW] [ROW][C]Log Likelihood[/C]

-177.053069[/C][/ROW] [ROW][C]Durbin-Watson[/C]

1.908964[/C][/ROW] [ROW][C]Von Neumann Ratio[/C]

1.921201[/C][/ROW] [ROW][C]# e[t] > 0[/C]

84[/C][/ROW] [ROW][C]# e[t] < 0[/C]

73[/C][/ROW] [ROW][C]# Runs[/C]

67[/C][/ROW] [ROW][C]Stand. Normal Runs Statistic[/C]

-1.949568[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=10069&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=10069&T=2

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Multiple Linear Regression - Regression Statistics
Multiple R	0.840614
R-squared	0.706632
Adjusted R-squared	0.70088
F-TEST	122.843318
Observations	157
Degrees of Freedom	153
Multiple Linear Regression - Residual Statistics
Standard Error	0.757064
Sum Squared Errors	87.691226
Log Likelihood	-177.053069
Durbin-Watson	1.908964
Von Neumann Ratio	1.921201
# e[t] > 0	84
# e[t] < 0	73
# Runs	67
Stand. Normal Runs Statistic	-1.949568

Multiple Linear Regression - Ad Hoc Selection Test Statistics
Akaike (1969) Final Prediction Error	0.587748
Akaike (1973) Log Information Criterion	-0.531469
Akaike (1974) Information Criterion	0.587741
Schwarz (1978) Log Criterion	-0.453602
Schwarz (1978) Criterion	0.635335
Craven-Wahba (1979) Generalized Cross Validation	0.588129
Hannan-Quinn (1979) Criterion	0.606625
Rice (1984) Criterion	0.588532
Shibata (1981) Criterion	0.587004

\begin{tabular}{lllllllll}
\hline

Multiple Linear Regression - Ad Hoc Selection Test Statistics \tabularnewline

Akaike (1969) Final Prediction Error

0.587748 \tabularnewline Akaike (1973) Log Information Criterion

-0.531469 \tabularnewline Akaike (1974) Information Criterion

0.587741 \tabularnewline Schwarz (1978) Log Criterion

-0.453602 \tabularnewline Schwarz (1978) Criterion

0.635335 \tabularnewline Craven-Wahba (1979) Generalized Cross Validation

0.588129 \tabularnewline Hannan-Quinn (1979) Criterion

0.606625 \tabularnewline Rice (1984) Criterion

0.588532 \tabularnewline Shibata (1981) Criterion

0.587004 \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=10069&T=3

[TABLE]

[ROW][C]Multiple Linear Regression - Ad Hoc Selection Test Statistics[/C][/ROW]

[ROW][C]Akaike (1969) Final Prediction Error[/C]

0.587748[/C][/ROW] [ROW][C]Akaike (1973) Log Information Criterion[/C]

-0.531469[/C][/ROW] [ROW][C]Akaike (1974) Information Criterion[/C]

0.587741[/C][/ROW] [ROW][C]Schwarz (1978) Log Criterion[/C]

-0.453602[/C][/ROW] [ROW][C]Schwarz (1978) Criterion[/C]

0.635335[/C][/ROW] [ROW][C]Craven-Wahba (1979) Generalized Cross Validation[/C]

0.588129[/C][/ROW] [ROW][C]Hannan-Quinn (1979) Criterion[/C]

0.606625[/C][/ROW] [ROW][C]Rice (1984) Criterion[/C]

0.588532[/C][/ROW] [ROW][C]Shibata (1981) Criterion[/C]

0.587004[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=10069&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=10069&T=3

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Multiple Linear Regression - Ad Hoc Selection Test Statistics
Akaike (1969) Final Prediction Error	0.587748
Akaike (1973) Log Information Criterion	-0.531469
Akaike (1974) Information Criterion	0.587741
Schwarz (1978) Log Criterion	-0.453602
Schwarz (1978) Criterion	0.635335
Craven-Wahba (1979) Generalized Cross Validation	0.588129
Hannan-Quinn (1979) Criterion	0.606625
Rice (1984) Criterion	0.588532
Shibata (1981) Criterion	0.587004

Ramsey RESET test for Misspecification

Multiple Linear Regression - Analysis of Variance
ANOVA	DF	Sum of Squares	Mean Square
Regression	3	211.221199	70.407066
Residual	153	87.691226	0.573145
Total	156	298.912425	1.9161052867868
F-TEST	122.843318
p-value	0

\begin{tabular}{lllllllll}
\hline

Multiple Linear Regression - Analysis of Variance \tabularnewline

ANOVA & DF & Sum of Squares & Mean Square \tabularnewline

Regression

211.221199

70.407066 \tabularnewline Residual

153

87.691226

0.573145 \tabularnewline Total

156

298.912425

1.9161052867868 \tabularnewline F-TEST

122.843318 \tabularnewline p-value

0 \tabularnewline

Ramsey RESET test for Misspecification

\hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=10069&T=4

[TABLE]

[ROW][C]Multiple Linear Regression - Analysis of Variance[/C][/ROW]

[ROW][C]ANOVA[/C][C]DF[/C][C]Sum of Squares[/C][C]Mean Square[/C][/ROW]

[ROW][C]Regression[/C]

3[/C]

211.221199[/C]

70.407066[/C][/ROW] [ROW][C]Residual[/C]

153[/C]

87.691226[/C]

0.573145[/C][/ROW] [ROW][C]Total[/C]

156[/C]

298.912425[/C]

1.9161052867868[/C][/ROW] [ROW][C]F-TEST[/C]

122.843318[/C][/ROW] [ROW][C]p-value[/C]

0[/C][/ROW]

Ramsey RESET test for Misspecification

[/TABLE] Source: https://freestatistics.org/blog/index.php?pk=10069&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=10069&T=4

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Ramsey RESET test for Misspecification

Multiple Linear Regression - Analysis of Variance
ANOVA	DF	Sum of Squares	Mean Square
Regression	3	211.221199	70.407066
Residual	153	87.691226	0.573145
Total	156	298.912425	1.9161052867868
F-TEST	122.843318
p-value	0

Multiple Linear Regression - Help Regression
Variable	Parameter	S.E.	T-STATH0: parameter = 0	2-tail p-value	1-tail p-value
school[t]	-0.891875	0.368171	-2.422451	0.016608	0.008304
workexp[t]	-0.388248	0.176854	-2.195301	0.029679	0.014839
work2[t]	0.005061	0.002302	2.198748	0.029428	0.014714
@F[t]^2	4.924878	1.609228	3.060397	0.00262	0.00131
@F[t]^3	-1.192342	0.378756	-3.148044	0.001983	0.000992
@F[t]^4	0.093491	0.030142	3.10165	0.0023	0.00115
Constant	-6.013757	2.396455	-2.509438	0.013154	0.006577

\begin{tabular}{lllllllll}
\hline

Multiple Linear Regression - Help Regression \tabularnewline

Variable

Parameter

S.E.

T-STATH0: parameter = 0

2-tail p-value

1-tail p-value \tabularnewline school[t]

-0.891875

0.368171

-2.422451

0.016608

0.008304 \tabularnewline workexp[t]

-0.388248

0.176854

-2.195301

0.029679

0.014839 \tabularnewline work2[t]

0.005061

0.002302

2.198748

0.029428

0.014714 \tabularnewline @F[t]^2

4.924878

1.609228

3.060397

0.00262

0.00131 \tabularnewline @F[t]^3

-1.192342

0.378756

-3.148044

0.001983

0.000992 \tabularnewline @F[t]^4

0.093491

0.030142

3.10165

0.0023

0.00115 \tabularnewline Constant

-6.013757

2.396455

-2.509438

0.013154

0.006577 \tabularnewline \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=10069&T=5

[TABLE]

[ROW][C]Multiple Linear Regression - Help Regression[/C][/ROW]

[ROW]

Variable[/C]

Parameter[/C]

S.E.[/C]

T-STATH0: parameter = 0[/C]

2-tail p-value[/C]

1-tail p-value[/C][/ROW] [ROW][C]school[t][/C]

-0.891875[/C]

0.368171[/C]

-2.422451[/C]

0.016608[/C]

0.008304[/C][/ROW] [ROW][C]workexp[t][/C]

-0.388248[/C]

0.176854[/C]

-2.195301[/C]

0.029679[/C]

0.014839[/C][/ROW] [ROW][C]work2[t][/C]

0.005061[/C]

0.002302[/C]

2.198748[/C]

0.029428[/C]

0.014714[/C][/ROW] [ROW][C]@F[t]^2[/C]

4.924878[/C]

1.609228[/C]

3.060397[/C]

0.00262[/C]

0.00131[/C][/ROW] [ROW][C]@F[t]^3[/C]

-1.192342[/C]

0.378756[/C]

-3.148044[/C]

0.001983[/C]

0.000992[/C][/ROW] [ROW][C]@F[t]^4[/C]

0.093491[/C]

0.030142[/C]

3.10165[/C]

0.0023[/C]

0.00115[/C][/ROW] [ROW][C]Constant[/C]

-6.013757[/C]

2.396455[/C]

-2.509438[/C]

0.013154[/C]

0.006577[/C][/ROW] [ROW][C][/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=10069&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=10069&T=5

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Multiple Linear Regression - Help Regression
Variable	Parameter	S.E.	T-STATH0: parameter = 0	2-tail p-value	1-tail p-value
school[t]	-0.891875	0.368171	-2.422451	0.016608	0.008304
workexp[t]	-0.388248	0.176854	-2.195301	0.029679	0.014839
work2[t]	0.005061	0.002302	2.198748	0.029428	0.014714
@F[t]^2	4.924878	1.609228	3.060397	0.00262	0.00131
@F[t]^3	-1.192342	0.378756	-3.148044	0.001983	0.000992
@F[t]^4	0.093491	0.030142	3.10165	0.0023	0.00115
Constant	-6.013757	2.396455	-2.509438	0.013154	0.006577

Multiple Linear Regression - Help Regression Statistics
Multiple R	0.875435
R-squared	0.766387
F-TEST	82.014602
p-value	0
Standard Error	0.682299
Observations	157
Degrees of Freedom	150

\begin{tabular}{lllllllll}
\hline

Multiple Linear Regression - Help Regression Statistics \tabularnewline

Multiple R

0.875435 \tabularnewline R-squared

0.766387 \tabularnewline F-TEST

82.014602 \tabularnewline p-value

0 \tabularnewline Standard Error

0.682299 \tabularnewline Observations

157 \tabularnewline Degrees of Freedom

150 \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=10069&T=6

[TABLE]

[ROW][C]Multiple Linear Regression - Help Regression Statistics[/C][/ROW]

[ROW][C]Multiple R[/C]

0.875435[/C][/ROW] [ROW][C]R-squared[/C]

0.766387[/C][/ROW] [ROW][C]F-TEST[/C]

82.014602[/C][/ROW] [ROW][C]p-value[/C]

0[/C][/ROW] [ROW][C]Standard Error[/C]

0.682299[/C][/ROW] [ROW][C]Observations[/C]

157[/C][/ROW] [ROW][C]Degrees of Freedom[/C]

150[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=10069&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=10069&T=6

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Multiple Linear Regression - Help Regression Statistics
Multiple R	0.875435
R-squared	0.766387
F-TEST	82.014602
p-value	0
Standard Error	0.682299
Observations	157
Degrees of Freedom	150

Ramsey RESET Test for Misspecification - Reduction F-test
SSR Ramsey Model	69.829822
SSR Reduced Model	87.691226
# Reduced Parameters	3
Degrees of Freedom	150
Reduction F-test	13.045
p-value	0

\begin{tabular}{lllllllll}
\hline

Ramsey RESET Test for Misspecification - Reduction F-test \tabularnewline

SSR Ramsey Model

69.829822 \tabularnewline SSR Reduced Model

87.691226 \tabularnewline # Reduced Parameters

3 \tabularnewline Degrees of Freedom

150 \tabularnewline Reduction F-test

13.045 \tabularnewline p-value

0 \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=10069&T=7

[TABLE]

[ROW][C]Ramsey RESET Test for Misspecification - Reduction F-test[/C][/ROW]

[ROW][C]SSR Ramsey Model[/C]

69.829822[/C][/ROW] [ROW][C]SSR Reduced Model[/C]

87.691226[/C][/ROW] [ROW][C]# Reduced Parameters[/C]

3[/C][/ROW] [ROW][C]Degrees of Freedom[/C]

150[/C][/ROW] [ROW][C]Reduction F-test[/C]

13.045[/C][/ROW] [ROW][C]p-value[/C]

0[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=10069&T=7

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=10069&T=7

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Ramsey RESET Test for Misspecification - Reduction F-test
SSR Ramsey Model	69.829822
SSR Reduced Model	87.691226
# Reduced Parameters	3
Degrees of Freedom	150
Reduction F-test	13.045
p-value	0

Parameters (Session):

Parameters (R input):

R code (references can be found in the software module):

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Ramsey RESET test for Misspecification

Ramsey RESET test for Misspecification

Ramsey RESET test for Misspecification

Ramsey RESET test for Misspecification

Figures (Output of Computation)

Input Parameters & R Code