Drawing Lines of Best Fit to Make Predictions

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Quizizz Content
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Mathematics
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8th Grade
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Hard
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15 questions
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1.
FLASHCARD
Front
What is a line of best fit?
Back
A line of best fit is a straight line that best represents the data on a scatter plot, showing the trend of the data points.
2.
FLASHCARD
Front
How do you determine if a line is a line of best fit?
Back
A line is a line of best fit if it minimizes the distance between itself and all the data points, ideally passing through the middle of the data set.
3.
FLASHCARD
Front
What does it mean if a data point is an outlier?
Back
An outlier is a data point that is significantly different from the other points in the data set, often lying far away from the line of best fit.
4.
FLASHCARD
Front
What is the purpose of drawing a line of best fit?
Back
The purpose is to make predictions about future data points based on the trend shown by the existing data.
5.
FLASHCARD
Front
What type of association does a positive correlation indicate?
Back
A positive correlation indicates that as one variable increases, the other variable also increases.
6.
FLASHCARD
Front
What type of association does a negative correlation indicate?
Back
A negative correlation indicates that as one variable increases, the other variable decreases.
7.
FLASHCARD
Front
What does it mean if there is no correlation between two variables?
Back
No correlation means that there is no predictable relationship between the two variables; changes in one do not affect the other.
8.
FLASHCARD
Front
How can you identify an outlier on a scatter plot?
Back
An outlier can be identified as a point that is far removed from the cluster of other data points.
9.
FLASHCARD
Front
What is the significance of the slope in a line of best fit?
Back
The slope indicates the rate of change between the two variables; a steeper slope means a stronger relationship.
10.
FLASHCARD
Front
What is the y-intercept in the context of a line of best fit?
Back
The y-intercept is the point where the line crosses the y-axis, representing the value of the dependent variable when the independent variable is zero.
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