散点图与相关性
Scatter Graphs & Correlation
使用散点图描述两个变量之间的简单数学关系，识别正相关、负相关或无相关性，并利用最佳拟合线进行预测。
Describe simple mathematical relationships between two variables using scatter graphs, identify positive, negative, or no correlation, and use a line of best fit to make predictions
学习证据 / Evidence
- 将双变量数据绘制成散点图，并描述观察到的相关性类型。
- 通过目测绘制一条最佳拟合线，并用它在数据范围内估算一个数值。
- 结合真实数据解释正相关、负相关和无相关性的含义（例如，气温与冰淇淋销量之间的关系）。
- Plot bivariate data on a scatter graph and describe the type of correlation observed
- Draw a line of best fit by eye and use it to estimate a value within the data range
- Explain what positive, negative, and no correlation mean in the context of real data (e.g., temperature vs. ice-cream sales)
评估问题 / Assessment
如果{{name}}绘制了一幅散点图——比如比较复习时间和考试成绩——能否画出最佳拟合线、描述数据模式，并利用它进行预测？
If {{name}} plotted a scatter graph — say, comparing hours of revision and test scores — could they draw a line of best fit, describe the pattern, and use it to make a prediction?