Asked by Giselle Saldana on May 27, 2024

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In a simple linear regression model, if you found that the true regression coefficient is significantly greater than zero, then you may also conclude that the two variables are positively correlated.

Regression Coefficient

A value that represents the degree of change of a dependent variable expected from a one-unit change in an independent variable, all else being equal.

Simple Linear Regression

A statistical technique that fits a linear equation to observed data to model the connection between a dependent variable and a single independent variable.

  • Comprehend the role of the slope coefficient in regression in evaluating the linkage between variables.
  • Comprehend the connection between the coefficient of determination, correlation coefficient, and the analysis of regression results.
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#T
#MissJayy TheMUAJun 01, 2024
Final Answer :
True
Explanation :
A positive regression coefficient indicates a positive relationship between the variables, meaning that as one variable increases, the other variable is also likely to increase. Therefore, if the regression coefficient is significantly greater than zero, it is reasonable to conclude that the two variables are positively correlated.