| Spaargeld NL vs Leningen NL | *The author of this computation has been verified* | R Software Module: /rwasp_linear_regression.wasp (opens new window with default values) | Title produced by software: Linear Regression Graphical Model Validation | Date of computation: Tue, 21 Dec 2010 14:42:24 +0000 | | Cite this page as follows: | Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2010/Dec/21/t129294247661kdcqqrx0pa0v6.htm/, Retrieved Tue, 21 Dec 2010 15:41:27 +0100 | | BibTeX entries for LaTeX users: | @Manual{KEY,
author = {{YOUR NAME}},
publisher = {Office for Research Development and Education},
title = {Statistical Computations at FreeStatistics.org, URL http://www.freestatistics.org/blog/date/2010/Dec/21/t129294247661kdcqqrx0pa0v6.htm/},
year = {2010},
}
@Manual{R,
title = {R: A Language and Environment for Statistical Computing},
author = {{R Development Core Team}},
organization = {R Foundation for Statistical Computing},
address = {Vienna, Austria},
year = {2010},
note = {{ISBN} 3-900051-07-0},
url = {http://www.R-project.org},
}
| | Original text written by user: | | | IsPrivate? | No (this computation is public) | | User-defined keywords: | | | Dataseries X: | » Textbox « » Textfile « » CSV « | 143827
145191
146832
148577
149873
151847
153252
154292
155657
156523
156416
156693
160312
160438
160882
161668
164391
168556
169738
170387
171294
172202
172651
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178366
180014
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182586
184957
186417
188599
189490
190264
191221
191110
190674
195438
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197172
198760
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203845
204613
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206315
206291
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211653
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219062
218550
218179
222218
222196
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229270
229359
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232677
232961
234629
235660
240024
243554
244368
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246321
246797
246735
251083
251786
252732
255051
259022
261698
263891
265247
262228
263429
264305
266371
273248
275472
278146
279506
283991
286794
288703
289285
288869
286942
285833
284095
289229
289389
290793
291454
294733
293853
294056
293982
293075
292391 | | Dataseries Y: | » Textbox « » Textfile « » CSV « | 9113
9140
9309
9395
10027
10202
10003
9745
9966
10035
9999
9943
10258
10926
10807
10992
11034
10801
10161
10191
10451
10380
10251
10522
10801
10731
10161
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9882
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9917
10356
10857
10424
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10565
10289
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10282
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10818
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10636
10409
10460
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13006
13815
14579
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16028
17079
15155
16049
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14956
15645
15318
15595
16355
15925
16175
15900
15711
15594
15693
16438
17048
17699
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20112
18607
18409
18388
19187
17983
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19589
19135
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21879
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21321
21396
22000
22642
24272
24933
25219
25745
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30250
31288
31072 | | Output produced by software: |
Simple Linear Regression | Statistics | Estimate | S.D. | T-STAT (H0: coeff=0) | P-value (two-sided) | constant term | -11443.9438916966 | 1199.79259293879 | -9.53826849661209 | 4.44089209850063e-16 | slope | 0.120680886431584 | 0.00531008110632519 | 22.7267501221088 | 0 |
| | Charts produced by software: | | http://www.freestatistics.org/blog/date/2010/Dec/21/t129294247661kdcqqrx0pa0v6/1wl6y1292942520.png (open in new window) | http://www.freestatistics.org/blog/date/2010/Dec/21/t129294247661kdcqqrx0pa0v6/1wl6y1292942520.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2010/Dec/21/t129294247661kdcqqrx0pa0v6/2wl6y1292942520.png (open in new window) | http://www.freestatistics.org/blog/date/2010/Dec/21/t129294247661kdcqqrx0pa0v6/2wl6y1292942520.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2010/Dec/21/t129294247661kdcqqrx0pa0v6/3pu5j1292942520.png (open in new window) | http://www.freestatistics.org/blog/date/2010/Dec/21/t129294247661kdcqqrx0pa0v6/3pu5j1292942520.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2010/Dec/21/t129294247661kdcqqrx0pa0v6/4il541292942520.png (open in new window) | http://www.freestatistics.org/blog/date/2010/Dec/21/t129294247661kdcqqrx0pa0v6/4il541292942520.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2010/Dec/21/t129294247661kdcqqrx0pa0v6/5aum71292942520.png (open in new window) | http://www.freestatistics.org/blog/date/2010/Dec/21/t129294247661kdcqqrx0pa0v6/5aum71292942520.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2010/Dec/21/t129294247661kdcqqrx0pa0v6/6aum71292942520.png (open in new window) | http://www.freestatistics.org/blog/date/2010/Dec/21/t129294247661kdcqqrx0pa0v6/6aum71292942520.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2010/Dec/21/t129294247661kdcqqrx0pa0v6/7lm3s1292942520.png (open in new window) | http://www.freestatistics.org/blog/date/2010/Dec/21/t129294247661kdcqqrx0pa0v6/7lm3s1292942520.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2010/Dec/21/t129294247661kdcqqrx0pa0v6/8lm3s1292942520.png (open in new window) | http://www.freestatistics.org/blog/date/2010/Dec/21/t129294247661kdcqqrx0pa0v6/8lm3s1292942520.ps (open in new window) |
| http://www.freestatistics.org/blog/date/2010/Dec/21/t129294247661kdcqqrx0pa0v6/9lm3s1292942520.png (open in new window) | http://www.freestatistics.org/blog/date/2010/Dec/21/t129294247661kdcqqrx0pa0v6/9lm3s1292942520.ps (open in new window) |
| | Parameters (Session): | par1 = 0 ; | | Parameters (R input): | par1 = 0 ; | | R code (references can be found in the software module): | par1 <- as.numeric(par1)
library(lattice)
z <- as.data.frame(cbind(x,y))
m <- lm(y~x)
summary(m)
bitmap(file='test1.png')
plot(z,main='Scatterplot, lowess, and regression line')
lines(lowess(z),col='red')
abline(m)
grid()
dev.off()
bitmap(file='test2.png')
m2 <- lm(m$fitted.values ~ x)
summary(m2)
z2 <- as.data.frame(cbind(x,m$fitted.values))
names(z2) <- list('x','Fitted')
plot(z2,main='Scatterplot, lowess, and regression line')
lines(lowess(z2),col='red')
abline(m2)
grid()
dev.off()
bitmap(file='test3.png')
m3 <- lm(m$residuals ~ x)
summary(m3)
z3 <- as.data.frame(cbind(x,m$residuals))
names(z3) <- list('x','Residuals')
plot(z3,main='Scatterplot, lowess, and regression line')
lines(lowess(z3),col='red')
abline(m3)
grid()
dev.off()
bitmap(file='test4.png')
m4 <- lm(m$fitted.values ~ m$residuals)
summary(m4)
z4 <- as.data.frame(cbind(m$residuals,m$fitted.values))
names(z4) <- list('Residuals','Fitted')
plot(z4,main='Scatterplot, lowess, and regression line')
lines(lowess(z4),col='red')
abline(m4)
grid()
dev.off()
bitmap(file='test5.png')
myr <- as.ts(m$residuals)
z5 <- as.data.frame(cbind(lag(myr,1),myr))
names(z5) <- list('Lagged Residuals','Residuals')
plot(z5,main='Lag plot')
m5 <- lm(z5)
summary(m5)
abline(m5)
grid()
dev.off()
bitmap(file='test6.png')
hist(m$residuals,main='Residual Histogram',xlab='Residuals')
dev.off()
bitmap(file='test7.png')
if (par1 > 0)
{
densityplot(~m$residuals,col='black',main=paste('Density Plot bw = ',par1),bw=par1)
} else {
densityplot(~m$residuals,col='black',main='Density Plot')
}
dev.off()
bitmap(file='test8.png')
acf(m$residuals,main='Residual Autocorrelation Function')
dev.off()
bitmap(file='test9.png')
qqnorm(x)
qqline(x)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Simple Linear Regression',5,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Statistics',1,TRUE)
a<-table.element(a,'Estimate',1,TRUE)
a<-table.element(a,'S.D.',1,TRUE)
a<-table.element(a,'T-STAT (H0: coeff=0)',1,TRUE)
a<-table.element(a,'P-value (two-sided)',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'constant term',header=TRUE)
a<-table.element(a,m$coefficients[[1]])
sd <- sqrt(vcov(m)[1,1])
a<-table.element(a,sd)
tstat <- m$coefficients[[1]]/sd
a<-table.element(a,tstat)
pval <- 2*(1-pt(abs(tstat),length(x)-2))
a<-table.element(a,pval)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'slope',header=TRUE)
a<-table.element(a,m$coefficients[[2]])
sd <- sqrt(vcov(m)[2,2])
a<-table.element(a,sd)
tstat <- m$coefficients[[2]]/sd
a<-table.element(a,tstat)
pval <- 2*(1-pt(abs(tstat),length(x)-2))
a<-table.element(a,pval)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')
| |
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