Dear 'R' community support,
I am a student at Skema business school and I have recently submitted my MSc
thesis/dissertation. This has been passed on to an external plagiarism service
provider, Urkund, who have scanned my document and returned a plagiarism report
to my professor having detected 32% plagiarism.
I have contacted Urkund regarding this issue having committed no such
plagiarism and they have told me that all the plagiarism detected in my
document comes from the last 25% which consists only of 'R' regressions like
the one I have pasted below:
lm(formula = Prague50 ~ Fed + Fed.t.1. + Fed.t.2. + Fed.t.3. +
Fed.t.4., data = OLS_CAR, x = TRUE)
Residuals:
Min 1Q Median 3Q Max
-0.154587 -0.015961 0.001429 0.017196 0.110907
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.001630 0.001763 -0.925 0.3559
Fed -0.121595 0.165359 -0.735 0.4627
Fed.t.1. 0.344014 0.140979 2.440 0.0153 *
Fed.t.2. 0.026529 0.143648 0.185 0.8536
Fed.t.3. 0.622357 0.142021 4.382 1.62e-05 ***
Fed.t.4. 0.291985 0.158914 1.837 0.0671 .
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 0.0293 on 304 degrees of freedom
(20 observations deleted due to missingness)
Multiple R-squared: 0.08629, Adjusted R-squared: 0.07126
F-statistic: 5.742 on 5 and 304 DF, p-value: 4.422e-05
I have produced all of these regressions myself and pasted them directly from
the 'R' software package. My regression methodology is entirely my own along
with the sourcing and preperation of the data used to produce these statistics.
I would be very grateful if you could provide my with some clarity as to why
this output from 'R' is reading as plagiarism.
I would like to thank you in advance,
Kind regards,
Oliver Barrett
(+44) 7341 834 217
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