
Linear Associations and Regression Analysis

Interactive Video
•
Mathematics
•
9th - 10th Grade
•
Hard

Thomas White
FREE Resource
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8 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What defines a linear association in a scatter plot?
Points form a perfect circle
Points lie close to a straight line
Points are randomly scattered
Points form a zigzag pattern
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does bivariate data represent in the context of the video?
Data with a single variable
Data with no variables
Data with two variables
Data with three variables
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why are linear models important?
They help in making predictions and estimations
They eliminate all errors
They provide exact values
They are used only for historical data
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How do you estimate the mean ticket price for a year using a linear model?
By guessing based on previous years
By using the x-coordinate for the year and finding the corresponding y-coordinate
By averaging all previous ticket prices
By using the y-coordinate for the year and finding the corresponding x-coordinate
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a residual in the context of linear models?
The total number of data points
The average of all data points
The sum of all errors
The difference between the actual and estimated values
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the least squares regression line?
A line that minimizes the sum of squared residuals
A line that maximizes the sum of squared residuals
A line that is parallel to the x-axis
A line that passes through all data points
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the slope in a linear equation?
The midpoint of the line
The y-intercept of the line
The x-intercept of the line
The value that measures the steepness of the line
8.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How can a calculator be used to find the regression equation?
By calculating the average of all data points
By drawing a line through the data points
By using the linear regression function
By manually entering each data point
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