Unit 5
Investigating data & statistical reasoning
Scatter plots are the most common form of displaying bivariate data.
IN THIS UNIT STUDENTS WILL BE EXPECTED TO:
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LEARNING OBJECTIVES
8.FGR.6.1 Show that straight lines are widely used to model relationships between two quantitative variables. For scatter plots that suggest a linear association, visually fit a straight line, and informally assess the model fit by judging the closeness of the data points to the line of best fit.
8.FGR.6.2 Use the equation of a linear model to solve problems in the context of bivariate measurement data, interpreting the slope and intercepts.
8.FGR.6.3 Explain the meaning of the predicted slope (rate of change) and the predicted intercept (constant term) of a linear model in the context of the data.
8.FGR.6.4 Use appropriate graphical displays from data distributions involving lines of best fit to draw informal inferences and answer the statistical investigative question posed in an unbiased statistical study.
8.FGR.6.2 Use the equation of a linear model to solve problems in the context of bivariate measurement data, interpreting the slope and intercepts.
8.FGR.6.3 Explain the meaning of the predicted slope (rate of change) and the predicted intercept (constant term) of a linear model in the context of the data.
8.FGR.6.4 Use appropriate graphical displays from data distributions involving lines of best fit to draw informal inferences and answer the statistical investigative question posed in an unbiased statistical study.
LEARNING TARGET
- I can construct and interpret scatter plots.
- I can describe patterns such as clustering, outliers, positive or negative association, linear associations, and nonlinear associations.
- I can approximate a line of best fit and informally judge the closeness of the data points to the line.
- I can write an equation for the line of best fit (y = mx + b).
- I can use the line of best fit to interpret the slope and intercept.
- I can determine relevant information from a scatter plot.
- I can use the line of best fit to predict and interpret how the slope and intercept relate to situational data in real world applications.
- I can answer statistical questions by analyzing data from a graphical distribution.