
Bivariate Data Review
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Mathematics
7th - 8th Grade
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15 questions
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1.
MULTIPLE CHOICE QUESTION
3 mins • 1 pt
What is the purpose of the line of best fit?
To create a visual representation of data points
To make predictions about one variable based on the value of another variable
To calculate the mean of a data set
To identify outliers in the data
2.
MULTIPLE CHOICE QUESTION
3 mins • 1 pt
What is the slope of a line?
The slope of a line measures the steepness and direction of the line, calculated as the change in y over the change in x.
The slope of a line is the length of the line segment between two points.
The slope of a line is always a positive number regardless of the direction.
The slope of a line is the angle it makes with the x-axis.
3.
MULTIPLE CHOICE QUESTION
3 mins • 1 pt
What is a linear relationship?
A relationship that can be represented by a curved line on a graph.
A relationship between two variables that can be represented by a straight line on a graph.
A relationship that shows no correlation between two variables.
A relationship that only exists in mathematical equations.
4.
MULTIPLE CHOICE QUESTION
3 mins • 1 pt
What is the equation of a line in slope-intercept form?
@@y = mx + b@@
@@y = b + mx@@
@@y = mx - b@@
@@y = rac{b}{m}x@@
5.
MULTIPLE CHOICE QUESTION
3 mins • 1 pt
How do you calculate the slope from two points?
@@m = \frac{y_2 - y_1}{x_2 - x_1}@@
@@m = \frac{x_2 - x_1}{y_2 - y_1}@@
@@m = y_1 - y_2@@
@@m = x_1 + x_2@@
6.
MULTIPLE CHOICE QUESTION
3 mins • 1 pt
How can you tell if a scatter plot shows a strong correlation?
A scatter plot shows a strong correlation if the data points are closely clustered around the line of best fit.
A scatter plot shows a strong correlation if the data points are randomly scattered across the plot.
A scatter plot shows a strong correlation if the data points form a perfect circle.
A scatter plot shows a strong correlation if the data points are all located in one quadrant.
7.
MULTIPLE CHOICE QUESTION
3 mins • 1 pt
What does positive correlation mean?
It means that as one variable increases, the other variable also increases.
It means that as one variable increases, the other variable decreases.
It means that there is no relationship between the variables.
It means that the variables are completely unrelated.
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