In a linear regression model, what does a negative coefficient for an independen

Practice Questions

Q1
In a linear regression model, what does a negative coefficient for an independent variable indicate?
  1. A positive relationship with the dependent variable
  2. No relationship with the dependent variable
  3. A negative relationship with the dependent variable
  4. The variable is not significant

Questions & Step-by-Step Solutions

In a linear regression model, what does a negative coefficient for an independent variable indicate?
  • Step 1: Understand what a linear regression model is. It is a way to predict a dependent variable (the outcome) based on one or more independent variables (the predictors).
  • Step 2: Identify what a coefficient is. A coefficient is a number that represents the relationship between an independent variable and the dependent variable.
  • Step 3: Recognize that coefficients can be positive or negative. A positive coefficient means that as the independent variable increases, the dependent variable also increases.
  • Step 4: Focus on the negative coefficient. A negative coefficient means that as the independent variable increases, the dependent variable tends to decrease.
  • Step 5: Conclude that a negative coefficient indicates an inverse relationship between the independent variable and the dependent variable.
No concepts available.
Soulshift Feedback ×

On a scale of 0–10, how likely are you to recommend The Soulshift Academy?

Not likely Very likely