Multivariate + Regression

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Last updated 4:46 AM on 9/28/26
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23 Terms

1
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what is the meaning for each varible in Y=bX+a

Y= Predicted; b= slope; X= Predictor Variable; a=Y-intercept

2
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What are the 3 Types of Regression?

Simple Regression, Multiple Regression, and Logistic Regression

3
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What is the distance between the actual data and the regresiion line(predicted values) called?

residuals

4
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If the correlation is stronger

than the better we can predict an accurate measure

5
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If I am using class size to predict the end of term grades what type of regression am I using?

Simple Regression

6
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If I am testing whether class size AND teacher’s year of experience predict end-of-term grades than what type of regression am I using?

Multiple Regression

7
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what measures how far a set of data points spreads out from the sets mean

variance

8
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If I’m measuring how much of the data sets results(variance) is caused by the predictor variable, then what would I use?

Coefficient of Determination(R²)

9
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if I say that a model explains 25% of the variance than what is the value of R²?

R²= 0.25

10
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If the data set creates a straight line pattern, what type of assumption is it?

Linearity

11
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what is the difference what the model predicts and what actually happened

error

12
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Which regression has one predictor variable and the outcome is measured by a continuous scale

Simple Regression

13
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What Regression type has more than one predictor variable and the outcome is measured on a continous scale

Multiple Regression

14
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What regression type has any number of predictor variables, and outcomes are categories rather than continuous numbers

Logistic Regreession

15
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If the model is multiple regression, then what happens to the regression equation?

Y= (xb)^1 + (xb)^1 + a

16
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How do you test Normality on SPSS

Analyze → Regression → Linear

Move variables to DV and IV Box

Click “Plots” Check: Normal Probability plot

Use histogram to see data set shape

17
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How do you test Independence of errors on SPSS?

Analyze → Regression → Linear

Move variables to DV and IV Box

Click “Statistics"; Check the Durbin-Watson box

18
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Is my Durbin-Watson value acceptable or not acceptable if it’s between 1.5 and 2.5?

it’s acceptable

19
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If my Durbin-Watson value is close to 2 then what does that mean?

it means there is no serial correlation, or, the predictor variable and actual data set are indpedent of each other

20
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How do I test No Multicollinearity on SPSS?

Analyze → Regression → Linear

Move variables to DV and IV

Click “Statistics”; Check: Collinearity Diagnostics

21
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If the VIF value is greater than 5, what are my results for the No Multicollinearity test?

If the value is greater than 5 than it’s possible that on of your predictor variables( IV) is too highly correlated with another.

22
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How do I test Linearity and Homoscedasticity on SPSS

Analyze→ Regression → Linear

Move variables to DV and IV

Click “Plots”; put standardized residuals in Y Box and standardized predicted. values in X box

23
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What is the primary goal of multivariate statistics?

The goal is to understand the relationships and structres among multiple variables