Podcast
Questions and Answers
Which of the following is a key assumption for performing simple linear regression?
Which of the following is a key assumption for performing simple linear regression?
- The deviation of each data point from the regression line is dependent on the deviation of the other data points
- There is a linear relationship between the predictor and outcome variable (correct)
- The outcome variable must be categorical
- The variation around the regression line is not constant
What does homoscedasticity refer to in the context of linear regression assumptions?
What does homoscedasticity refer to in the context of linear regression assumptions?
- The variation around the regression line is not constant
- There is no relationship between the predictor and outcome variable
- The variation around the regression line is constant (correct)
- The outcome variable must be binary
What does it mean when it is said that outliers can substantially reduce the correlation in linear regression?
What does it mean when it is said that outliers can substantially reduce the correlation in linear regression?
- Outliers have an inverse relationship with correlation
- Outliers have no impact on the correlation
- Outliers increase the correlation
- Outliers decrease the correlation (correct)
What type of plot is used to assess the distributional similarity between a dataset and a theoretical distribution?
What type of plot is used to assess the distributional similarity between a dataset and a theoretical distribution?
What should be the distribution of both dependent and independent variables in linear regression?
What should be the distribution of both dependent and independent variables in linear regression?
What is a key assumption for performing simple linear regression?
What is a key assumption for performing simple linear regression?
What does homoscedasticity refer to in the context of linear regression assumptions?
What does homoscedasticity refer to in the context of linear regression assumptions?
What type of plot is used to assess the distributional similarity between a dataset and a theoretical distribution?
What type of plot is used to assess the distributional similarity between a dataset and a theoretical distribution?
What should be the distribution of both dependent and independent variables in linear regression?
What should be the distribution of both dependent and independent variables in linear regression?
What does it mean when it is said that outliers can substantially reduce the correlation in linear regression?
What does it mean when it is said that outliers can substantially reduce the correlation in linear regression?
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