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Mathspace system requirements

6. Descriptive Statistics

6.01 Frequency data displays

6.02 Measures of center

6.03 Box plots and measures of spread

6.04 Data distributions

Investigation: Statistics and the weather

6.05 Comparisons of data sets

Investigation: Finding the line of best fit using technology

6.06 Two-way frequency tables

6.07 Scatter plots and lines of fit

6.08 Correlation and causation

6.09 Linear regressions and residual plots

Investigation: Interpretation of data with awareness of issues

Investigation: Associations in biometric data

6.10 Fitting functions to exponential data

United States of America UT

Math I

6.09 Linear regressions and residual plots

Lesson

Outcomes

I.S.ID.6.b

Informally assess the fit of a function by plotting and analyzing residuals.

I.S.ID.7

Interpret the slope (rate of change) and the intercept (constant term) of a linear model in the context of the data.

I.S.ID.8

Compute (using technology) and interpret the correlation coefficient of a linear fit.

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