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Mathis1
Quartz | Level 8

Hello,

I read a sample of a quizz from the Stats certification an stumbled upon this question :

SASQ3.PNG

I would have answered the D, i don't get why it should be A. Moreover, i've tried on my SAS to execute both the score statement and score logistic and both give me the predicted probabilities....

 

Any idea ? Is it an error ? 

Thank you by advance 😄 

1 ACCEPTED SOLUTION

Accepted Solutions
ballardw
Super User

Do you have the documentation for Proc Logistic where you can reference details?

 

From the beginning of the SCORES statement syntax entry:

SCORE Statement

  • SCORE <options>;

The SCORE statement creates a data set that contains all the data in the DATA= data set together with posterior probabilities and, optionally, prediction confidence intervals. Fit statistics are displayed on request

 

And from the overview of Proc Score:

The SCORE procedure multiplies values from two SAS data sets, one containing coefficients (for example, factor-scoring coefficients or regression coefficients) and the other containing raw data to be scored using the coefficients from the first data set. The result of this multiplication is a SAS data set containing linear combinations of the coefficients and the raw data values.

 

Highlight added.

The two are not the same. You may have skipped some information if any was provided about the content of the data sets to be used by Proc Score.

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1 REPLY 1
ballardw
Super User

Do you have the documentation for Proc Logistic where you can reference details?

 

From the beginning of the SCORES statement syntax entry:

SCORE Statement

  • SCORE <options>;

The SCORE statement creates a data set that contains all the data in the DATA= data set together with posterior probabilities and, optionally, prediction confidence intervals. Fit statistics are displayed on request

 

And from the overview of Proc Score:

The SCORE procedure multiplies values from two SAS data sets, one containing coefficients (for example, factor-scoring coefficients or regression coefficients) and the other containing raw data to be scored using the coefficients from the first data set. The result of this multiplication is a SAS data set containing linear combinations of the coefficients and the raw data values.

 

Highlight added.

The two are not the same. You may have skipped some information if any was provided about the content of the data sets to be used by Proc Score.

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