Terms in this set (10) Which popular media headline does NOT suggest that a multiple regression has been used? “
Dog ownership decreases stress
.”
Why are multiple regression designs inferior to experimental designs?
According to the textbook, which of the following is a reason that multiple regression designs are inferior to experimental designs?
They can only control for third variables that are measured
. If a researcher is asking why the relationship between two variables exists, she is curious about which of the following? Dr.
What is multiple regression quizlet?
Multiple Regression.
A technique for describing the relationship between a continuous response Y and a set of more than one explanatory variables
. Same as simple linear model but extended. Fitting a Model for Multiple Regression. Use method of Least Squares with added independent variables in equation.
Why is the statistical validity of a multiple regression design?
Why is the statistical validity of a multiple regression design more complicated to interrogate than a bivariate design?
It is harder to detect outliers
.
How do multiple regression designs help rule out third variables?
helps to rule out third variables by
studying multiple variables to help control for any of the 3rd variables that might effect internal validity
. when researchers use this they are testing whether some key relationships hold true even when a suspected third variable is statistically controlled for.
Why are curvilinear relationships hard to detect with correlation coefficients r )? Group of answer choices?
Why are curvilinear relationships hard to detect with correlation coefficients (r)? …
The third variable must be related to both of the measured variables in the original association
. The third variable must be measured on the same scale as the original measured variables.
Which is a method for preventing selection effects?
Matching
has the advantage of randomness because each member of the matched pair is randomly assigned, the technique prevents selection effects and ensures that the groups are equal on some important variable before the manipulation of the iv. Independent groups: different participants are exposed to each condition.
What is the purpose of a multiple regression?
Multiple regression analysis allows
researchers to assess the strength of the relationship between an outcome (the dependent variable) and several predictor variables as well as the importance of each of the predictors to the relationship
, often with the effect of other predictors statistically eliminated.
What type of data is used for multiple regression?
As a predictive analysis, the multiple linear regression is used to explain the relationship between
one continuous dependent variable and two or more independent variables
. The independent variables can be continuous or categorical (dummy coded as appropriate).
What is the goal of multiple linear regression quizlet?
What is the purpose of multiple regression? Multiple regression
extends the principles of linear regression by using more than one variable as a predictor.
How do you determine which variables are statistically significant?
The level of statistical significance is often expressed as a p-value between 0 and 1. The smaller the p-value, the stronger the evidence that you should reject the null hypothesis.
A p-value less than 0.05 (typically ≤ 0.05) is statistically significant
.
How do you know if multiple regression is significant?
Step 1: Determine whether the association between the response and the term is statistically significant. To determine whether the association between the response and each term in the model is statistically significant, compare the p-value for the term to your significance level to assess the null hypothesis.
What is one real life example of when regression analysis is used?
A simple linear regression real life example could mean
you finding a relationship between the revenue and temperature, with a sample size for revenue as the dependent variable
. In case of multiple variable regression, you can find the relationship between temperature, pricing and number of workers to the revenue.
Which of the following is not true of the third variables and mediating variables?
Which of the following is NOT true of third variables and mediating variables? Third variables are external to the causal variable, but mediating variables are internal to the causal variable. Third variables are
considered nuisances
, but mediating variables are not.
When both variables in a study are measured It is a correlational study?
When both variables in a study are measured, it is a correlational study. Correlations are conducted by
comparing
two means. Scatterplots are often used to graph a categorical variable and a continuous variable.
When determining mediation how many steps are necessary?
There are
6 steps
to a formal mediation; 1) introductory remarks, 2) statement of the problem by the parties, 3) information gathering time, 4) identification of the problems, 5) bargaining and generating options, and 6) reaching an agreement.
