The correct answer:
The errors are independent, normally distributed with zero mean and constant variance.
The correct answer:
Proc sort data=SASUSER.DATABASE;by county;run;proc surveyselect data=SASUSER.DATABASE samprate=0.6 out=sample outall;strata county;run;
The correct answer:
When the dependent variable partially or partially completely separates an independent variable or a mixture of numerous independent variables, this is known as quasi-complete separation. In a discrete outcome variable, levels in a category variable or values in a numeric variable are separated by groups.
Please select 2 correct answers
The correct answer:
Proc ttest data=salary;class gender;var pay;run;
Proc glm data=salary;class gender;model pay=gender;run;
The correct answer:
The model with the lowest average squared error value is the one that is selected. The model with the lowest mean squared error value is the one that is chosen.
The correct answer:
Data scientists can assess how successfully the model produces predictions based on the new data using validation data, which serves as the initial test against unobserved data. Validation data is not often used by data scientists, but it might offer some useful information for optimizing the hyperparameters that affect how the model evaluates data.
The correct answer:
The changed R-squared is a variant of R-squared that takes into account factors in a regression model that is not significant. In other words, the adjusted R-squared demonstrates whether or not a regression model is improved by including more factors.
The correct answer:
In comparison to an observation without the event, an observation with the event has a lower anticipated probability.
The correct answer:
Is a corrected model accuracy (goodness-of-fit) metric for linear models. It shows how much of the volatility in the target field can be attributed to the input or inputs.
The correct answer:
The validation and test data sets are subjected to the sample means from the training data set.
Please select 2 correct answers
The correct answer:
Odds=exp(default);p=odds/1+odds;
P=1/(1+exp(-default));
