How do you conduct a regression analysis in SPSS using 1 predictor variable (personality score) and 8 dependent variables (stigma scores to 8 different case studies)? I have tried to use this process as seen in previous posts: Analyze - general linear model - multivariate...
Just remember that if you do not run the statistical tests on these assumptions correctly, the results you get when running a multinomial logistic regression might not be valid.In the section, Procedure, we illustrate the SPSS Statistics procedure to perform a multinomial logistic regression assuming...
Naghdipour, BakhtiarEmeagwali, Okechukwu LawrenceKing, Chula GGuyette, Roger WPiotrowski, ChrisSources, Cite YourMasrek, Mohamad NoormanMccuen, Richard H
While I managed, eventually, to figure out how to apply the algorithm to my dataset, I'm fairly new to the world of regressions. I've conducted a couple of linear regressions using various dubious surveys, but I imagine I should use ordinal regression when dealing with such a ra...
So what's the best way to do this in SPSS? Well, the first 2 steps are super simple:we add z-scores for all relevant variables to our data and see if their minima or maxima meet |z| ≥ 3.29.Funnily, both steps are best done with a simple DESCRIPTIVES command as shown below....
How Can You Do Multiple Regressions in Excel We have the following sample dataset where Sales Report is given with Unit Price, Promotion (for advertisement) and Sales. We need to run the multiple regression model to find the relationship between the dependent variable (Sales) and the independent...
Regression is a complex statistical technique that tries to predict the value of an outcome or dependent variable based on one or more predictor variables, such as years of experience, national unemployment rates or student course grades.
In practice, checking for these assumptions requires you to use SPSS Statistics to carry out a few more tests, as well as think a little bit more about your data, but it is not a difficult task.Before we introduce you to these four assumptions, do not be surprised if, when analysi...
Remove any outliers identified by SPSS in the stem-and-leaf plots or box plots by deleting the individual data points. Alternatively, you can set up a filter to exclude these data points. Step 4 Select "Data" and then "Select Cases" and click on a condition that has outliers you wish ...
You can also interpolate via the equation for the simple linear regression. That is Y = a + bX, where Y and X are the dependent and independent variables. Here, a is the intercept and b is the slope value. Use the following formula: =SLOPE(D5:D14,C5:C14)*F5+INTERCEPT(D5:D14,...