# Wk7 Q4 Online Learning May 11-15 Algebra 1

Teacher Stephanie Durrance Algebra I Honors 7th/8th 7 UNIT 11: Statistics
Standard(s) Taught
 MAFS.912.S-ID.2.6: Represent data on two quantitative variables on a scatter plot, and describe how the variables are related.

MAFS.912.S-ID.3.9: Distinguish between correlation and causation.

Learning Targets and Learning Criteria
 • identify the independent and dependent variable and describe the relationship of the variables. • identify a linear function, a quadratic function, or an exponential function that was found using regression. • use a regression equation to solve problems in the context of the data. • construct a scatter plot with an appropriate scale. • identify any outliers on the scatter plot. • determine whether linear and exponential models are increasing and decreasing. • sketch the function of best fit on the scatter plot. • use technology to find the function of best fit for a scatter plot. • use the function of best fit to make predictions.

• recognize that correlation does not imply causation and that causation is not illustrated on a scatter plot. • use precision of the words correlation or correlated when describing a linear relationship between two quantitative variables.  • choose two variables that could be correlated because one is the cause of the other and defend my selection. • determine if statements of causation seem reasonable or unreasonable and defend my opinion. • distinguish between situations where correlation does not imply causation. • distinguish variables that are correlated because one is the cause of another.

Classroom Activities

Monday/Tuesday:

Pre-work:

No live Zoom lessons. Please see the direct teaching resources below on line of best fit of a scatter plot.

Write an equation for line of best fit (10 min): https://learnzillion.com/lesson_plans/6933-write-an-equation-for-line-of-best-fit/

Make predictions using a line of best fit (10 min): https://learnzillion.com/lesson_plans/5894-make-predictions-using-a-line-of-best-fit/

ISN: Watch both direct lessons above and take notes in ISN on new page titled “Line of Best Fit.”

Independent Work:

Khan Academy (20 min): Complete assigned videos “Estimating with linear regression (linear models)” and “Line of best fit: smoking in 1945” and assigned quizzes “Estimating equations of lines of best fit, and using them to make predictions” and “Estimating slope of line of best fit.”

Algebra Nation Workbook (20 min): Pages 272-273 –  Identify a linear function, a quadratic function, or an exponential function that was found using regression

EOC Review Packet (10 min): Page 16 #1-2

Wednesday:

Complete the tutorial  Scatterplots Part 2: Patterns, Associations and Correlations on  https://www.floridastudents.org/PreviewResource/StudentResource/167176 (30 min)

Thursday/Friday:

Pre-work:

No live Zoom lessons. Please see the direct teaching resources below on correlation and causation.

Differentiate between correlation and causation (10 min): https://learnzillion.com/lesson_plans/6499-differentiate-between-correlation-and-causation/

Assess the appropriateness of a linear correlation model (10 min): https://learnzillion.com/lesson_plans/7093-assess-the-appropriateness-of-a-linear-correlation-model/

ISN: Watch both recorded lessons and add notes in ISN on new page titled “Correlation and Causation.”

Independent Work:

IXL (20 min): KK.10 – Match correlation coefficients to scatter plots (70% or higher)

Algebra Nation Workbook (20 min): Pages 274-276 – Examining Correlation

EOC Review Packet (10 min): Page 17-18 #3-5

All IEP and ESOL accommodations provided daily.

Assignments Due

·         Algebra Nation Workbook: P. 272-276 (Practice)

·         EOC Review Packet: Pages 16-18 #1-5 (Practice)