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9-12 Integrated Math 1 Unit 6

Gradeband

K-5 Math 6-8 Math •9-12 Math

Course

•Integrated Math 1 Integrated Math 2 Integrated Math 3

Unit

Unit 1 Unit 2 Unit 3 Unit 4 Unit 5 •Unit 6 Unit 7 Unit 8 Unit 9

Modeling Prompts

K-5
6-8
9-12

Integrated Math 1
Integrated Math 2
Integrated Math 3

Algebra 1
Geometry
Algebra 2
Extra Support Materials for Algebra 1

Unit 1
Unit 2
Unit 3
Unit 4
Unit 5
Unit 6
Unit 7
Unit 8
Unit 9

Modeling Prompts

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Unit 6

Student Learning Targets

$Course Icon$

Integrated Math 1

Section ATwo-Way Tables

1

Two-Way Tables

I can calculate missing values in a two-way table.
I can create a two-way table for categorical data given information about a situation.
I can describe what the values in a two-way table mean in the context of the situation.

2

Relative Frequency Tables

I can calculate values in a relative frequency table and describe what the values mean in everyday language.

3

Associations in Categorical Data

I can look for patterns in two-way tables and relative frequency tables to see if there is a possible association between two variables.

Section BScatter Plots

Section CCorrelation Coefficients

Section DLet's Put It to Work

Unit 6 Resources

Student Materials

4

Linear Models

I can describe the rate of change and -intercept for a linear model that represents a situation.
I can draw a linear model that fits the data well and use the linear model to estimate values I want to find.

5

Fitting Lines

I can describe the rate of change and -intercept for a linear model that represents a situation.
I can use technology to find the line of best fit.

6

Residuals

I can plot and calculate residuals for a data set and use the information to judge whether a linear model is a good fit.

10

Fossils and Flags

I can collect data, create a linear model to fit the data, determine if the linear model is a good fit, and use the information from my linear model to answer questions.

7

The Correlation Coefficient

I can describe the goodness of fit of a linear model using the correlation coefficient.
I can match the correlation coefficient with a scatter plot and linear model.

8

Using the Correlation Coefficient

I can describe the strength of a relationship between two variables.
I can use technology to find the correlation coefficient and explain what the value tells me about a linear model that represents a situation.

9

Causal Relationships

I can look for connections between two variables to analyze whether or not there is a causal relationship.