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Standards/Math/Alabama/G.12

G.12

G Geometry with Data Analysis
G.1
G.10
G.11
G.12
G.12.aG.12.b
G.13
G.14
G.15
G.16
G.17
G.18
G.19
G.2
G.20
G.21
G.22
G.23
G.24
G.25
G.26
G.27
G.28
G.29
G.3
G.30
G.31
G.32
G.33
G.34
G.35
G.36
G.37
G.38
G.4
G.5
G.6
G.7
G.8
G.9

Represent data of two quantitative variables on a scatter plot, and describe how the variables are related.

G.12.aFind a linear function for a scatter plot that suggests a linear association and informally assess its fit by plotting and analyzing residuals, including the squares of the residuals, in order to improve its fit.G.12.bUse technology to find the least-squares line of best fit for two quantitative variables.
Khan Academy Resources
Introduction to residuals and least-squares regression
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