Asked by nivetha duraisamy on Jun 28, 2024
Verified
Developing a linear regression equation requires calculating the slope (b) and ______.
A) the X intercept
B) the value of t
C) the value of m
D) the Y-intercept (a)
Linear Regression Equation
A formula to determine the line of best fit in a dataset, depicting how the dependent variable is influenced by one or more independent variables.
Slope
A measure of the steepness or incline of a line, typically represented as the ratio of the rise over the run between two points on a graph.
Y-intercept
The Y-intercept of a linear equation is the point where the line crosses the Y-axis on a graph, representing the value of the dependent variable when the independent variable is zero.
- Familiarize with and implement the concept of linear regression, along with its segments (slope and Y-intercept), for the prediction of outcomes.
Verified Answer
SM
Samuel MidgetteJul 02, 2024
Final Answer :
D
Explanation :
To develop a linear regression equation, we need to determine the slope (b) and the Y-intercept (a). The equation takes the form Y = a + bX, where X is the independent variable, Y is the dependent variable, a is the Y-intercept, and b is the slope. Therefore, the correct option is D, the Y-intercept.
Learning Objectives
- Familiarize with and implement the concept of linear regression, along with its segments (slope and Y-intercept), for the prediction of outcomes.