statistics Unit 3 review 8th grade

Front

What is the equation of the line of best fit?

Back

The equation of the line of best fit is a linear equation that best represents the data points in a scatter plot. It can be used to predict values.

Tags

CCSS.8.EE.B.5

Front

What does a scatter plot represent?

Back

A scatter plot is a graph that shows the relationship between two quantitative variables. Each point represents an observation.

Tags

CCSS.8.SP.A.1

Front

What is the purpose of the line of best fit?

Back

The line of best fit is used to summarize the relationship between variables and to make predictions based on the data.

Tags

CCSS.8.SP.A.2

Front

How do you determine the slope of a line from its equation?

Back

The slope of a line in the equation y = mx + b is represented by 'm'. It indicates the steepness and direction of the line.

Tags

CCSS.8.EE.B.5

Front

What does a positive slope indicate in a scatter plot?

Back

A positive slope indicates that as one variable increases, the other variable also increases.

Tags

CCSS.8.EE.B.5

Front

What does a negative slope indicate in a scatter plot?

Back

A negative slope indicates that as one variable increases, the other variable decreases.

Tags

CCSS.8.EE.B.5

Front

What is the y-intercept in the equation of a line?

Back

The y-intercept is the value of y when x is 0 in the equation y = mx + b. It represents where the line crosses the y-axis.

Tags

CCSS.8.EE.B.6

CCSS.8.F.A.3

Front

How can you estimate a value from a scatter plot?

Back

To estimate a value from a scatter plot, locate the x-value on the horizontal axis, then find the corresponding y-value on the vertical axis.

Tags

CCSS.8.SP.A.1

Front

What is the significance of outliers in a scatter plot?

Back

Outliers are data points that differ significantly from other observations. They can affect the line of best fit and the overall analysis.

Tags

CCSS.8.SP.A.1

Front

What is the formula for calculating the slope between two points (x1, y1) and (x2, y2)?

Back

The slope (m) is calculated using the formula m = (y2 - y1) / (x2 - x1).

Tags

CCSS.8.EE.B.5