Statistics
posted by Pat .
In conducting multiple regression analyses (MRAs), a major technical concern involves any high correlation of predictor (regressor) variables included in the model. The term for this is ....?
A. Redundant predictors
B. Close "knit" IVs
C. Multicollinearity
D. Correlative dysfunction

C. Multicollinearity: highly correlated predictor variables (2 or more).
Respond to this Question
Similar Questions

Statistics
I neep help on two questions! A condition that occurs in multiple regression analysis if the independent variables are themselves correlated is known as: 1. autocorrelation 2. stepwise regression 3. multicorrelation 4. multicollinearity … 
Stats
Instructions for Data Sets: In each data set, the dependent variable (response) is the first variable. Choose the independent variables (predictors) as you judge appropriate. Use a spreadsheet or a statistical package (e.g., MegaStat … 
applied statistics
Discuss how the General Linear Model assigns the optimal “weights” to predictor variables that allow us to maximize prediction accuracy. How are discriminant functions the optimal weighted linear composites for predicting “membership” … 
stastistics(psychology)
A study was conducted to identify the predictors for symptomatic distress in EMS workers. Five predictor variables were used in a regression model and fitted to a data collected on n = 147 EMS workers and yielded F* = 34.47. In testing … 
stastistics
You have a hot grill and an empty hamburger bun, but you have sworn off greasy hamburgers. Would a meatless hamburger do? 
statistics
Estimate the tenure of someone that could have $5.8($k) and 15 years of job satisfaction. Make sure to state your multiple regression equation in your example. What are some of things that you can estimate from the model? 
Statistics
a procedure in REGRESSION NALYSIS WHERE PREDICTOR OR INDEPENDENT VARIABLES ARE CODED AS 1 OR 0 (REPRESENTING CATEGORIES) AND CAN BE USED TO PRODUCE ANOVA TABLES UNDER THE GENERAL LINEAR MODEL IS KNOWN AS? 
Statistics
A procedure in regression analysis where Predictor or Independent Variables are coded as 1 or 0 (representing categories) and can be used to produce ANOVA Tables under the General Linear Model is known as…? 
Math: Statistics
1. A regression analysis includes the effect of Age, which is categorised into five levels. How many dummy variables should be defined for including it in the analysis? 
Math (Stats)
In order to predict yvalues using the equation of a regression line, what must be true about the correlation coefficient of the variables?