The major plan is to have students become familiar with photosynthesis and linear regression analysis. This requires a learning collaboration between science and statistics by constructing a hypothesis about how the number of plants in schools or businesses is correlated with the number of sick days taken or the number of students absent from illnesses.

CCSS Alignment for Grades 9-12

S-ID.6 Represent data on two quantitative variables on a scatter plot, and describe how the variables are related. Students will construct a scatter plot showing relation between number of plants and sick days/absences.

The major plan is to have students become familiar with photosynthesis and linear regression analysis. This requires a learning collaboration between science and statistics by constructing a hypothesis about how the number of plants in schools or businesses is correlated with the number of sick days taken or the number of students absent from illnesses.

## Resource

http://pbl-online.org/CoLab/PBLCL-External.ViewCompleteProject.php?projectId=154

## Summary

## The major plan is to have students become familiar with photosynthesis and linear regression analysis. This requires a learning collaboration between science and statistics by constructing a hypothesis about how the number of plants in schools or businesses is correlated with the number of sick days taken or the number of students absent from illnesses.

## CCSS Alignment for Grades 9-12

## S-ID.6

Represent data on two quantitative variables on a scatter plot, and describe how the variables are related. Students will construct a scatter plot showing relation between number of plants and sick days/absences.The major plan is to have students become familiar with photosynthesis and linear regression analysis. This requires a learning collaboration between science and statistics by constructing a hypothesis about how the number of plants in schools or businesses is correlated with the number of sick days taken or the number of students absent from illnesses.