I am looking for a formula to get a simplified ratio

for example 8:4 ->2:1 is easy

but lets say, 4891:1558, whats the most simplified ratio you can get.]]>

Please help with outliers ]]>

I have a continuous predictor. Years of experience

I am predicting a dv that is success or not success (I am maximizing success)

My odds ratio is 1.103 (it is statistically significant as is the model).

I interpret that as For every year they have been a counselor the odds of being successful are about 1.1 times higher.

Is this correct (my interpretation)]]>

1. Residuals should be normally distributed

2. Residuals should have a constant variance

3. Independence of errors.

While I comply to the third condition, I am not meeting the first 2. Here are...

Violation of regression conditions-HELP!!]]>

I have been told to do this with a Multiple Linear Regression. But what would be the independent and...

How do I compare two questionnaires with Likert Scales]]>

]]>

I got the advice to use Hayes' PROCESS macro through SPSS for my research model, specifically model 4 and model 7. However, these models represent partial mediation, while my research model is full mediation. Hence, I was wondering whether I can use them for my analysis. If so, do I still need to consider the direct effect of X on Y?

Thank you in advance.]]>

In our models, the dependent variable is audit fees paid to auditor by audit client, dollars per year (continuous variable). We use regression to analyze the data.

Our issue is the measure of a predictor variable, restatement by client company (correction of reporting error from prior year). Prior studies generally use one of two measures listed below:

Modelling issue in regression]]>

Non linear regression with categorical dependent variable.]]>

Valid use of regression]]>

Dropbox link to the file here:

https://www.dropbox.com/s/24k73q14mnkremw/Normal Distribution Not Working .xls?dl=0

With South Carolina in the books -- for Biden, big-time -- and Super Tuesday on deck, let's revisit the implied probabilities:

Good ol' Joe has made a significant gain in implied probability -- up 5X since we last checked -- but Bernie remains the heavy favorite in this horse race to Milwaukee...

Election 2020]]>

In Life

Some mock me for doing statistics

Some loathe me and statistics

Some don’t understand what statistics are

Why is it that statistics

Put a calm smile on my face?

Because of statistics I can solve the deepest mysteries

Because of statistics I will not be lonely again, playing in the data

Because of statistics I can rearrange the stars in the skies above

(by Chinese statistician Wang Jiaowei [translated],

The...

Statistics Poetry]]>

For my analysis, I have included a no-choice option (

Conjoint analysis: bias due to no-choice option and linear attribute]]>

The explanation is in the image below. I don't understand why it is (n + k -1) choose k. How does he get to (n + k - 1)? I understand what he's saying about n - 1 |'s and k *'s. I would appreciate any advice on understanding this. Thank you!

]]>

Not sure at what point you decide its not going to run and given up. Or how you can tell R to quit trying rather than having to open a new session.

Well I guess escape works. That package apparently won't install on my system.]]>

Thank you very much!]]>

zoospend<-zoo(X,ts)

where xis a vector, matrix, or data frame, and dt is a vector of corresponding dates or datetimes

I have a table that has two columns one spending and the other months associated with that spending. The spending is mydata$Spend and the date field (which is formatted as a date) is mydata$month

I think this is the right way to do a zoo ts given this.

zoospend<-zoo(mydata$Spend,mydata$Month)

I get no error...

zoo question]]>

Thanks a bunch]]>

200 / 200 on the test was converted to grade 10,

199 / 200 converted to 9,

190-198,9 / 200 converted to 8,

140–189,9 / 200 converted to 7,

(no information provided on lower scoring).

For reference: 10 is the maximum, lower than 5...

Help: grade distribution issue]]>

I hope you are all well. I have finished collecting data for my dissertation survey. it was a conjoint analysis where I offer people 9 products to rate ( 4 attributes with different levels). I have analysis the conjoint and everything but I am kind of stuck in doing a hierarchical clustering since I've learned how to do it in SPSS but it is not what I need I think. I need to do it based on the 4 attributes but not the products I suppose, this is what I got...

Conjoint analysis- Hierarchical clustering- K means clustering]]>

I do

setwd("S:\\CIU\\Testfolder")

mydata<-read.csv(file="datacsv.csv")

str(mydata)

which shows the field rehab.rate is a character that looks like "48.67%"

I tried

mydata1<-mydata

mydata1$rehab.rate=as.numeric((gsub("%","",mydata1$rehab.rate)))

but end up with NA in the field. I am guessing the decimal place is the issue.]]>

I was wondering if any one could help me with the interpretation of the following output. As you can see in the first picture, the interactionterm is non-significant.. What is confusing to me is that, as you can see in the second picture, the predictor does interact with the moderator at 1 standarddeviation above the mean of this variabel. How can that be? Does this mean that there IS an interaction? Or is there non? ]]>

So I'm currently confronted with an output I just can't interpret...

(See attachement 1)

This is calculated through a multinomial logit model. Usually, i get outputs in which there's only one dependent-variable-function for which i can easily tell what's going on. But in case of this output, it's categorial.

My thoughts on this are the following:

Considering y=1, then an increase in Income has a positive effect of changing the category. Is that the case?

And are the catch-rate...

Multinomial Regression Output Analysis]]>

Attached is my sample data file. Can someone help?]]>

Repeated Measures Multivariate Table vs. MANOVA Multivariate Table]]>

- Median wages
- Unemployment rate
- Average educational attainment
- Population

Can...

Which distance metric should I use for county clustering?]]>

Sorry if this is the wrong forum for this, but I've been trying to track down a statistics book that I found several years back. I really loved it, I found an electronic version of the book with a web search. It began with describing ANOVA analysis, and focused on a single dataset. I think the dataset was test results between male/female splits of numerical grades. It did a very good job explaining how ANOVA worked, without a lot of very complicated mathematical equations. At the...

GLM book title]]>

1. Why do we have to normalise the data using transformations, won't it affect the relationship between variables? Although it seems to distort the scale of the data but it still reduce the effect of outliers?

2. I see that white noise for error should have 0 to very minimum co relation so that the error must be...

Normality and Box Cox transformation]]>

I hope all is well. I am reading a paper that reports the following F values for a variable that enters a hierarchal regression with 2 variables already entered in block 1, and 2 variables already entered in block 2. For the third block, the authors report F (3,171) = 0.36 p < .001 and in another model for different DV, report F (3,171) = 0.43 p < .001.

I thought that F <1 in regression meant that the error term was bigger than the systematic factor, and therefore could not be...

F value in hierarchal regression query]]>

This is a question about within-subject factors in a three-way mixed factor ANOVA. I am terribly confused and I need some help.

I am trying to run a three-way mixed factor ANOVA with group (patients, controls) as a between-subjects factor and two within-subjects factors: familiarity and syntactic complexity. I have organised the data on SPSS as follows: one column for...

Three way mixed Factorial ANOVA - definining within-subjects variables]]>

I'll start by saying that I'm a complete newbie and even though I've read many statistics books during the last 3 years, what I've learnt is very little.

My aim is to quantitatively measure risk, not the financial risk as it is usually done, but the fire risk (I work for an insurance company as a loss control engineer). Everybody uses heat maps that are completely useless.

Risk is defined by probability (some say is actually frequency) x severity and I'd like to develop a Monte Carlo...

Calculating risk]]>

I am seeking your feedback on the question that I have limited knowledge about (i.e., stochastic modeling).

Say, I am working with a variant of standard epidemiological compartment model -- SEIR (Susceptible --> Exposed --> Infected --> Recovered):

In my analysis I focus on the role of within- and between-county mobility in prediction of the new infections. Therefore, I add two components to this (deterministic) model: (1)...

Deterministic to stochastic modeling]]>

This is a question about within-subject factors in a three-way mixed factor ANOVA. I am terribly confused and I need some help.

I am trying to run a three-way mixed factor ANOVA with group (patients, controls) as a between-subjects factor and two within-subjects factors: familiarity and syntactic complexity. I have organised the data on SPSS as follows: one column for...

three-way mixed factor ANOVA]]>

I am currently doing my master thesis and have difficulties fully understanding how to interpret the results of my binary logistic regression. The code and the plot of said code are attached. The plot is labelled in German, sorry for that.

Background info:

In Switzerland, almost all judges belong to a political party. I would like to analyze how this party political affiliation might influence the decisions judges take. Since my field of research is migration, I do this in...

[Rstudio] Binary Logistic Regression - Interpretation]]>

Thanks]]>

I am having problems with analysis. I want to perform a multiple linear regression.

1). The dependent variable and all but one of the independent variables is normally distributed. I was made aware that the independent variables don't have to be normally distributed to use it for a regression but the residuals need to be normally distributed.

2). Second problem the fact that SPSS calculates pearsons r for the non normal variable instead of spearmans rho. Does this invalidate the...

Linear regression analysis]]>

I was wondering if you can help me something.

I want to create a 3-way table in SPSS, but I want the cells to show the actual values and not just frequencies. Something like this:

Easy Medium Hard

Poor Q1, Q2

Fair

Hard Q4, Q5

So it is a 3*3 matrix, but instead of telling me the frequency, it actually divides the Question numbers...

3 way table with values]]>

Anyway, my question is, after reviewing all the basics, i'm still unsure on how to properly read the following equation:

what i'm guessing is "the probability of x given all those other variables...

A little help with notations please]]>

I want to know if different doses yield a statistically significant difference in mean drug exposure across the two groups. I am observing that even if I calibrate "artificially" the doses to generate very similar mean exposures in both groups, all the statistical tests will always return very low...

Statistical comparisons for large sample sizes (n>1000)]]>

For example, I have a binary DV: Frail (1) and Healthy (2).

If I want to be able to predict Frailty, do I enter 1 or 2 in the value of state variable?]]>

i have a dataset with a series of ranking questions, for example;

Please rank the following in terms of how well they reflect your view on XXXX

1 being not relevant 5 being excellent

how do i analyse these types of questions? currently i'm just looking at the mean score and writing a summary but it seems a little basic. I have other general info but i have no knowledge on how to test them against the ranked questions, for example;

i could assess those who are co-located with...

Advice on SPSS use]]>

Is this a limitation of a regression model? Does anyone have a good link for an article or book that will explain this?

Thanks]]>