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What is the purpose of multiple linear regression?
What is the purpose of multiple linear regression?
- To estimate the relationship between one independent variable and one dependent variable
- To estimate the relationship between multiple dependent variables
- To estimate the relationship between two or more independent variables and one dependent variable (correct)
- To estimate the relationship between two dependent variables and one independent variable
Which assumption is important to check before developing a multiple linear regression model?
Which assumption is important to check before developing a multiple linear regression model?
- Correlation between dependent variables (correct)
- Homogeneity of variance
- Independence of observations
- Normality of data distribution
What does homoscedasticity refer to in the context of multiple linear regression?
What does homoscedasticity refer to in the context of multiple linear regression?
- The data follows a normal distribution
- There are no hidden relationships among variables
- The size of the error in prediction doesn’t change significantly across the values of the independent variable (correct)
- The observations in the dataset were collected using statistically valid sampling methods
What happens if two independent variables in a multiple linear regression model are too highly correlated?
What happens if two independent variables in a multiple linear regression model are too highly correlated?
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What type of distribution does the data need to follow for multiple linear regression?
What type of distribution does the data need to follow for multiple linear regression?
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