Equation of Line of Best Fit (Scatter Plots)
Flashcard
•
Mathematics
•
8th - 9th Grade
•
Hard
+2
Standards-aligned
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15 questions
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1.
FLASHCARD QUESTION
Front
What is the equation of a line of best fit?
Back
The equation of a line of best fit is a linear equation that best represents the data points in a scatter plot, minimizing the distance between the points and the line.
Tags
CCSS.8.EE.B.5
2.
FLASHCARD QUESTION
Front
What does the slope of a line represent in a scatter plot?
Back
The slope of a line represents the rate of change of the dependent variable (y) with respect to the independent variable (x). A positive slope indicates a direct relationship, while a negative slope indicates an inverse relationship.
Tags
CCSS.8.EE.B.5
3.
FLASHCARD QUESTION
Front
What does the y-intercept in a linear equation represent?
Back
The y-intercept is the point where the line crosses the y-axis, representing the value of y when x is 0.
4.
FLASHCARD QUESTION
Front
How do you determine the line of best fit from a scatter plot?
Back
To determine the line of best fit, visually assess the scatter plot to find a line that best represents the trend of the data points, or use statistical methods like least squares regression.
Tags
CCSS.8.EE.B.5
5.
FLASHCARD QUESTION
Front
What is the purpose of using a line of best fit?
Back
The purpose of using a line of best fit is to make predictions about the dependent variable based on the independent variable and to analyze the relationship between the two variables.
Tags
CCSS.8.EE.B.5
6.
FLASHCARD QUESTION
Front
What does it mean if the data points are closely clustered around the line of best fit?
Back
If the data points are closely clustered around the line of best fit, it indicates a strong correlation between the variables, suggesting that the line is a good representation of the data.
7.
FLASHCARD QUESTION
Front
What is a scatter plot?
Back
A scatter plot is a graph that displays two variables as points on a Cartesian plane, allowing for the visualization of relationships and trends between the variables.
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