Regression

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  • Created by: The Shrew
  • Created on: 17-01-16 20:39
Outcome= model + error
Y= (rx) + e/ r= pearson's correlation/ x= observed data/ e=error
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Add where line crosses y axis
y=rx+a
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Value of b
*
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Equation of straight line
Y= bx+a/ b= gradient, a= intercept
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Value of a
A= y-(bx) substitute x for smallest and largest values and plot on graph
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Y and Y with the hat
Observed value/ predicted value
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Beta values
Population parameters for given values of predictors
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b0
value of the constant- estimate rate of change of the criterion variable
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Can explain outcome in terms of different predictors
Plane of best fit- 3D model
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Expand model to include more predictors
Y=(b0+b1x1+b2x2) + error
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Other cards in this set

Card 2

Front

Add where line crosses y axis

Back

y=rx+a

Card 3

Front

Value of b

Back

Preview of the front of card 3

Card 4

Front

Equation of straight line

Back

Preview of the front of card 4

Card 5

Front

Value of a

Back

Preview of the front of card 5
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