Chapter 14 Flashcards

1
Q

What is the regression formula with two independent variables

A

yhat= a+bx1+bx2

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2
Q

The square root of SSE/n-(K+1), also the square root of MSE

A

Multiple standard error of estimate

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3
Q

The percent of variation in the dependent variable y, explained by the set of independent variables

A

Coefficient of multiple determination

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4
Q

Characteristics of Coefficient of Multiple Determination

A
  1. Capital R
  2. Ranges from 0 to 1
  3. It cannot assume negative values
  4. It is easy to interpret
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5
Q

What does SSR/SST give you

A

Coefficient of multiple determination

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6
Q

This test investigates whether it is possible that all the independent variables have zero regression coefficients

A

Global test

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7
Q

What are the 5 characteristics of a global test

A
  1. Based on family of F-distributions
  2. F distribution cannot be negative
  3. It is a continuous distribution
  4. Positively skewed
  5. It is asymptotic
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8
Q

What df should be used when doing individual t test for the independent variables

A

The residual df

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9
Q

How should the standard error be interpreted for a regression model

A

It is the typical “error” when the regression equation is used to predict Y

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10
Q

What are the 5 assumptions of a for a multiple regression test

A
  1. There is a linear relationship
  2. The variation in the residuals is the same for both large and small values of yhat
  3. The residuals follow the normal probability distribution
  4. The independent variables should not be correlated
  5. The residuals are in independent
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11
Q

What happens to if the number of variables in a multiple regression is equal to the sample size

A

The coefficient of determination becomes 1

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12
Q

Term for The variation around the regression equation is the same for all of the values of the independent variables

A

Homoscedasticity

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13
Q

Term for events where independent variables are correlated

A

multicollinearity

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14
Q

When successive residuals are correlated. Residuals will cluster mostly positive on the left and negative on the right

A

autocorrelation

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15
Q

A variable in which there are only two possible outcomes. For analysis, one of the outcomes is coded a 1 and the other a 0

A

Dummy variable

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16
Q

How do you produce a third independent variable for interaction

A

Multiply x1 by x2

17
Q

A step by step method to determine a regression equation that begins with a single independent variable and adds or deletes independent variables one by one.

A

Stepwise regression

18
Q

What type of variables are included in stepwise regression

A

Independent variables with non zero coefficients are included in the final regression equation

19
Q
A