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Acer Lambada
Please check your Kolmogorov-Smirnov table for me?
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4
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64
Acer Lambada
Hermann
Conjecture: "SST=SSR+SST does not imply y(x) is an optimal sLR-line" (sLR:=simple Linear Regression)
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8
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72
fed2
noetsi
ARDL package
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15
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255
obh
B
Measure of agreement, multiple elements within multiple items
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1
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47
katxt
T
Regression coefficient interpretation
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2
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62
Dason
S
Does it change anything in a multilevel model when the predictor is a higher-level variable?
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1
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87
noetsi
gianmarco
Dividing each cell value by its column mean
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2
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57
gianmarco
M
Resampling with replacement
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1
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78
fed2
F
where can beginners find example business reports in Excel, R, Python for learning?
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0
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41
FreakBeans
I
Automatically determining top number of levels of categorical variable to consider
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0
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43
integrates_to_1
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Latest profile posts

J
Hey everyone, I'm trying to run some logistic regressions in pspp, but I keep getting NaNs. I've tried running frequencies to check for errors, and have found nothing.
Any suggestions? Is there a way I can post a screenshot or the pdf?
Thanks
Dason
Dason
Make a thread. You could attach either to your post
A
Hello everyone, I am facing some problems concerning my data normality of my dependent variable, my results are contradicted and I couldn't make my conclusion. Which criteria should I based for to say if the data is normally distributed or not ?
Thank you in advance
A
atn
first you can do visual examination and then you can do statistical test for normality assumptions (Kolmogorov-Smirnov test, Shapiro-Wilk's test)
Likes: Amina
A
Amina
Thank you Sir, I really appreciate it
A
Hello there!
could you help me to show or explain how to run this formula in Spss step by step? Thank you in advance.
My background of Statistic is not good :(

****
Munificence to be obtained by:
a. Regressing time against sales of industry over the previous 10 years
of period and;

b.Taking the ratio of the regression slope coefficient to the mean value of sales over the same period.
****
G
Can you help me with stats and probability.
State whether the following are true or false and give a brief explanation. Explain true/false answer
i. Skewness of a distribution cannot be determined from a boxplot.
ii. For any event A, it is possible for P(A) + P(Ac
) < 1, where Ac denotes
the complement set.
iii. A standardised normal random variable has a standard deviation equal to
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