M.TMS.SPI.2 ADDA Architectural Interpret the slope (rate of 16. Sections, Stairs, Steps X change) and the intercept (constant term) of a linear model in the context of data. M.TMS.SPI.3 Know that straight lines are widely used to model relationships between two quantitative variables. For X scatter plots that suggest a linear association, informally fit a straight line, and informally assess the model fit by judging the closeness of the data points on the line. M.TMS.SPI.4 Represent data with plots on X the real number line (dot plots, histograms, and box plots). M.TMS.SPI.5 1727.15 Use statistics appropriate to Construct working drawings the shape of the data 1729.3 X distribution to compare Produce drawings using center (median, mean) and computer-assisted drafting spread (interquartile range, systems (CAD) or drafting machines, or by hand using
M.TMS.SPI.2 Interpret the slope (rate of change) and the intercept (constant term) of a linear model in the context of data. ADDA Architectural 16. Sections, Stairs, Steps X M.TMS.SPI.3 Know that straight lines are widely used to model relationships between two quantitative variables. For scatter plots that suggest a linear association, informally fit a straight line, and informally assess the model fit by judging the closeness of the data points on the line. X M.TMS.SPI.4 Represent data with plots on the real number line (dot plots, histograms, and box plots). X M.TMS.SPI.5 Use statistics appropriate to the shape of the data distribution to compare center (median, mean) and spread (interquartile range, 1727.15 Construct working drawings 1729.3 Produce drawings using computer-assisted drafting systems (CAD) or drafting machines, or by hand using X