Regression and Residuals - Using Desmos

Flashcard
•
Mathematics
•
11th Grade
•
Hard
+7
Standards-aligned
Quizizz Content
FREE Resource
Student preview

15 questions
Show all answers
1.
FLASHCARD QUESTION
Front
What is a linear regression model?
Back
A linear regression model is a statistical method used to model the relationship between a dependent variable and one or more independent variables by fitting a linear equation to observed data.
2.
FLASHCARD QUESTION
Front
What does the slope in a linear equation represent?
Back
The slope represents the rate of change of the dependent variable with respect to the independent variable. It indicates how much the dependent variable is expected to increase (or decrease) when the independent variable increases by one unit.
Tags
CCSS.8.EE.B.5
3.
FLASHCARD QUESTION
Front
What is the y-intercept in a linear equation?
Back
The y-intercept is the value of the dependent variable when the independent variable is zero. It represents the point where the line crosses the y-axis.
4.
FLASHCARD QUESTION
Front
What does the r-value (correlation coefficient) indicate?
Back
The r-value indicates the strength and direction of a linear relationship between two variables. It ranges from -1 to 1, where 1 indicates a perfect positive correlation, -1 indicates a perfect negative correlation, and 0 indicates no correlation.
Tags
CCSS.HSF-LE.A.1B
5.
FLASHCARD QUESTION
Front
What is a residual in regression analysis?
Back
A residual is the difference between the observed value and the predicted value of the dependent variable. It measures how well the regression model fits the data.
Tags
CCSS.HSS.ID.B.6B
6.
FLASHCARD QUESTION
Front
What is interpolation in the context of regression?
Back
Interpolation is the process of estimating unknown values within the range of known data points. For example, predicting a value for x=8 when x-values in the data set include values around 8.
7.
FLASHCARD QUESTION
Front
What is extrapolation in regression analysis?
Back
Extrapolation is the process of estimating unknown values outside the range of known data points. For example, predicting a value for x=15 when the data set only includes values up to 10.
Tags
CCSS.8.F.A.2
CCSS.HSF.IF.C.9
Create a free account and access millions of resources
Similar Resources on Wayground
15 questions
Regression

Flashcard
•
11th Grade
15 questions
Linear and Quadratic Regression

Flashcard
•
11th Grade
15 questions
9.1 - 9.3 Stats Review

Flashcard
•
11th Grade
15 questions
Regression Equations

Flashcard
•
11th - 12th Grade
15 questions
Ap Statistics (Bivariate Data)

Flashcard
•
11th Grade
15 questions
Interpolation and Extrapolation

Flashcard
•
11th Grade
15 questions
3.3 - Linear Regression Review

Flashcard
•
10th - 12th Grade
15 questions
AP Stats Chapter 3 Practice Test

Flashcard
•
11th - 12th Grade
Popular Resources on Wayground
18 questions
Writing Launch Day 1

Lesson
•
3rd Grade
11 questions
Hallway & Bathroom Expectations

Quiz
•
6th - 8th Grade
11 questions
Standard Response Protocol

Quiz
•
6th - 8th Grade
40 questions
Algebra Review Topics

Quiz
•
9th - 12th Grade
4 questions
Exit Ticket 7/29

Quiz
•
8th Grade
10 questions
Lab Safety Procedures and Guidelines

Interactive video
•
6th - 10th Grade
19 questions
Handbook Overview

Lesson
•
9th - 12th Grade
20 questions
Subject-Verb Agreement

Quiz
•
9th Grade
Discover more resources for Mathematics
40 questions
Algebra Review Topics

Quiz
•
9th - 12th Grade
10 questions
Solving Equations Opener

Quiz
•
11th Grade
21 questions
Arithmetic Sequences

Quiz
•
9th - 12th Grade
15 questions
Polynomials: Naming, Simplifying, and Evaluating

Quiz
•
9th - 11th Grade
40 questions
Camp CMS Math 1 Test Review

Quiz
•
9th - 12th Grade