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Statistics
Exploring two-variable quantitative data
- Representing the relationship between two quantitative variables
- Correlation
- Residuals
- Least-squares regression
- Analyzing departures from linearity
Register for a session to review this topic with a small group of learners.
Ed
Statistics · session
Exploring two-variable quantitative data
We'll take a look at 2-variable quantitative data and other questions as needed.
BL
CL
Chad L
0
Session ended.
Ed
Statistics · session
Exploring two-variable quantitative data
SUMMIT -Interpret the correlation coefficient of a linear fit -Fit a linear function for a scatter plot that suggests a linear association -Interpret the slope and y-intercept of a linear model in context of the data.
All are welcomed
KC
Karen C
0
Session ended.
Ed
Statistics · session
Exploring two-variable quantitative data
This session is intended for SUMMIT students--however, anyone may join!
In this session, we will: calculate the correlation & the least-squares regression line using technology, interpret the slope & y-intercept of a regression line, make predictions based on the model, and interpret computer regression output
Hope to see you there!
GL
KJ
Karen J
0
Session ended.
Ed
Statistics · session
Exploring two-variable quantitative data
This session is intended for SUMMIT students--however, anyone may join!
In this session, we will: calculate the correlation & the least-squares regression line using technology, interpret the slope & y-intercept of a regression line, make predictions based on the model, and interpret computer regression output
Hope to see you there!
GL
KJ
Karen J
0
Session ended.
Ed
Statistics · session
Exploring two-variable quantitative data
SUMMIT — This session is intended for Summit students; however, anyone may join.
Two-Variable Statistics
- Interpret the correlation coefficient of a linear fit
-Fit a linear function for a scatter plot that suggests a linear association
-Interpret the slope and y-intercept of a linear model in the context of the data
GL
FF
Firdaus F
0
Session ended.
Ed
Statistics · session
Exploring two-variable quantitative data
SUMMIT — This session is intended for Summit students; however, anyone may join.
"Two-Variable Statistics
Interpret the correlation coefficient of a linear fit
Fit a linear function for a scatter plot that suggests a linear association
Interpret the slope and y-intercept of a linear model in the context of the data"
GL
FF
Firdaus F
0
Session ended.
Ed
Statistics · session
Exploring two-variable quantitative data
In this session, we will explore and discuss bivariate data, correlation, and regression using either the TI-83/4 and/or Desmos. Please bring any questions you have.
BL
RS
Robin S
1
Session ended.
Ed
Statistics · session
Exploring two-variable quantitative data
SUMMIT - This session is intended for Summit students, but other learners are welcome to join as well. We will dive into the basics of correlation, least squares regression, and making predictions using technology. I will also show you how I have used least squares regression to tackle some interesting research problems.
BL
ZF
Zachary F
0
Session ended.
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