In simple linear regression, If Slope β1 is 0, there is Group of answer choicesno relationshippositive linear relationshipnegative linear relationship
Question
In simple linear regression, If Slope β1 is 0, there is
- Group of answer choices
- no relationship
- positive linear relationship
- negative linear relationship
Solution
Understanding the Slope in Linear Regression
-
Definition of Slope (β1): In simple linear regression, the slope (β1) represents the change in the dependent variable (Y) for a one-unit change in the independent variable (X).
-
Interpretation of β1 = 0: When the slope (β1) is equal to 0, it indicates that there is no change in the dependent variable (Y) regardless of changes in the independent variable (X). In other words, the line of best fit is horizontal.
-
Implication: This means that there is no relationship between the independent variable (X) and the dependent variable (Y).
-
Options Analysis:
- No relationship: This is correct, as β1 = 0 implies that changes in X do not affect Y.
- Positive linear relationship: Incorrect, as there is no increase in Y with increase in X.
- Negative linear relationship: Incorrect, as there is no decrease in Y with increase in X.
Final Answer
The correct option is no relationship.
Similar Questions
Simple Linear Regression involves finding a linear relationship between how many variables in total?Group of answer choices24infiniteall of the above
Positive linear relationships are those where the dependent variable increases on the Y axis and the independent variable increases on the X axisTRUEFALSE
In order to determine whether the coefficient in a simple linear regression model is significant or not, which null hypothesis do we propose?β0=0β0≠0β1=0β1≠0
Polynomial regression can model nonlinear relationships by transforming the features.Group of answer choicesTrueFalse
Which of the following statements is true about the graph of a linear equation with a positive slope?
Upgrade your grade with Knowee
Get personalized homework help. Review tough concepts in more detail, or go deeper into your topic by exploring other relevant questions.