Virginia SOL A.ST.1

What students need to be able to do

• Formulate investigative questions that require the collection or acquisition of bivariate data.
• Determine what variables could be used to explain a given contextual problem or situation or answer investigative questions.
• Determine an appropriate method to collect a representative sample, which could include a simple random sample, to answer an investigative question.
• Given a table of ordered pairs or a scatterplot representing no more than 30 data points, use technology to determine whether a linear or quadratic function represents the relationship and find the equation of the curve of best fit.
• Use linear and quadratic regression methods to write a function representing the data and describe the strengths and weaknesses of the model.
• Use a linear model to predict outcomes and evaluate the strength and validity of these predictions using technology.
• Investigate and explain the meaning of the rate of change (slope) and y-intercept (constant term) of a linear model in context.
• Analyze relationships between two quantitative variables revealed in a scatterplot.
• Make conclusions based on the analysis of a set of bivariate data and communicate the results.