Unit 3: Two Variable Statistics Review

Front

What is Two Variable Statistics?

Back

Two Variable Statistics involves analyzing the relationship between two different variables, often using methods like scatter plots, correlation coefficients, and regression analysis.

Front

What does the term 'slope' refer to in a linear equation?

Back

The slope (m) in the equation y=mx+b represents the rate of change of y with respect to x, indicating how steep the line is.

Front

What is a scatter plot?

Back

A scatter plot is a graph that shows the relationship between two quantitative variables, with points representing individual data points.

Front

What is the purpose of a correlation coefficient?

Back

The correlation coefficient measures the strength and direction of a linear relationship between two variables, ranging from -1 to 1.

Front

What does 'y-intercept' mean in the equation y=mx+b?

Back

The y-intercept (b) is the value of y when x is 0, representing where the line crosses the y-axis.

Front

How do you interpret a positive correlation?

Back

A positive correlation indicates that as one variable increases, the other variable also tends to increase.

Front

What is the difference between qualitative and quantitative data?

Back

Qualitative data describes characteristics or qualities (e.g., colors, names), while quantitative data represents numerical values (e.g., height, weight).

Front

What is a frequency table?

Back

A frequency table is a way to organize data that shows how often each value occurs in a dataset.

Front

What does it mean if two variables are independent?

Back

Two variables are independent if the change in one variable does not affect the change in the other variable.

Front

What is the formula for calculating the mean?

Back

The mean is calculated by adding all the values in a dataset and dividing by the number of values.