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14 Cards in this Set
- Front
- Back
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What are the 3 forms of data and analysis?
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Univariate data/analysis - tabulation, graphs, sum. stat.
Bivariate data/analysis - cross-tabulation, graphics etc. Multivariate analysis - multiple regression etc. |
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What is regression?
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A measure which attempts to determine the strength of the relationship between a dependent variable, and independent variable(s).
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What is linear regression used for?
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Used to explain or predict a dependent variable with a set of independent variables based on a linear (best fitting line) relationship.
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When there is only one independent variable, we us _______ (linear) regression analysis?
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Simple (linear) regression analysis
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When there are two independent variables, we us _______ (linear) regression analysis?
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Multiple (linear) regression analysis
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To use regression, the dependent variable must be what kind of measurement?
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Interval or ratio
However independent can be any. |
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Other names for the dependent variable are?
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Predicted variable
Response variable Outcome variable |
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Other names for the independent variable are?
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Predictor variable
Explanatory variable Covariables |
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Name two conceptual models...
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STILL NEEDS LOOKING AT.
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"A value that indicates the effect of the individual independent variables on the dependent variables" is called?
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Regression Coefficients
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A type of regression coefficient which measures the percentage of variation in the dependant variable that is explained by the variation in the independent variables.
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Coefficient of Determination
Assumes a value from 0-1 |
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How is the Coefficient of Determination calculated?
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R2 or R-squared
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What are the 3 steps of analysing a linear regression?
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Step 1: What amount of variation are we explaining in the dependent variable.
(look at r-squared) < .3 = low explanatory power .3 - .5 = reasonable explanatory power .5 - .7 = model has good/very good explanatory power > 7 = model has excellent explanatory power Step 2: Which independent variables explain the dependent variable? (look at p-value/significance and comment on beta standardised coefficients) Step 3: Draw marketing and business conclusions/recommendations/implications. |
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Describe problems in using and interpreting regressions?
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NOT DONE YET
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