Term
| The variable that is being observed. It is assumed to vary depending on different circumstances. |
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Definition
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Term
| The variable that is manipulated in order to measure its effects on the dependent variable. |
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Definition
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Term
ANOVA Assumptions:
The dependent variable is measured from observations _1__ selected from _2__ __3_ populations equal _4__ |
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Definition
1. Randomly
2. Independent
3. Normal
4. Variances |
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Term
F = __?__
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Critical F Value is based on level of significance, and degrees of freedom in the chart.
When to Reject (< or >)
Reject if test statistic F __ CV
DO NOT reject if F __ CV
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Definition
F = MSA
MSW
Reject if F > CV
DO NOT reject if F < CV
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Term
| ___ is used for prediction, where the goal is to develop a statistical model, or equation which relates X to Y. It is the reverse of ANOVA. |
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Definition
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Term
| In __ Linear Regression, there is only one predictor variable X used to predict Y |
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Definition
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Term
The Regression Analysis statistical model is made up of at least one numeric _____ (X) (sometimes called predictor), used to predict the numeric values of a _____(Y)
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Definition
Independent Variable (X)
Dependent Variable (Y) |
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Term
| ___ ___ is used to establish the strength of the relationship/association between the dependent variable (Y) and the independent variable (X) |
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Definition
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Term
| In simple linear regression, understand that a relatively __ r2 and a relatively ___ standard error are desirable in order to have a significant relationship between X and Y. |
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Definition
Large r2
Small Standard Error |
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Term
| ___ - a condition that exists when the predictors are highly correlated (NOT GOOD). In this situation the coefficient estimates may change erratically in response to small changes in the model or the data. |
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Definition
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