Simple Linear Regression: Objectives and Concepts
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What is the main objective of simple linear regression?

  • To determine the causation between two variables
  • To predict the value of a dependent variable based on the value of an independent variable (correct)
  • To calculate the mean and standard deviation of a dataset
  • To analyze the relationship between two or more independent variables

    • What does the slope of the regression line represent in simple linear regression?

  • The change in the dependent variable for a one-unit change in the independent variable (correct)
  • The average of the dependent variable
  • The correlation coefficient between the variables
  • The standard error of the regression

    • In simple linear regression, what does the coefficient of determination (R-squared) measure?

  • The accuracy of the regression model in predicting the dependent variable
  • The proportion of the variance in the dependent variable that is predictable from the independent variable (correct)
  • The degree of collinearity between the independent and dependent variables
  • The strength and direction of the relationship between the variables

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