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9 Cards in this Set
- Front
- Back
What is a residual value? |
It is the value of the deviation of a data point from a slop line, relative to the y axis. |
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What should the sum of squared residuals be if you have a good slope line? |
zero! |
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What is the method of least squares? |
It is a method that finds the best location for the straight line function because it estimates values for the slope, and the intercept that minimises the sum of squared residuals. |
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What are the two fundamental equations in the linear regression model? |
- Full regression equation - Regression model equation |
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How do the full regression equation and the regression model equation differ? |
'Model' equations will always have a predicted Y score on the LHS, and no residual score on RHS (e) |
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of x and y, which is the dv and iv? |
X - INDEPENDENT Y - DEPENDENT |
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What is a and b in the regression equations? |
a - intercept b - slope |
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What is a partial regression coefficient? |
The regression slope parameter, noted as b, in multiple linear regression. (Regression w/ 2 or more IVs) |
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What are the two features we focus on in the linear regression model? |
- The strength of the overall prediction model
- The strength of the prediction of each individual IV considered separately within the overall model. |