Unit 7 Recovery Practice

Front

What is the interquartile range (IQR)?

Back

The interquartile range (IQR) is a measure of statistical dispersion, calculated as the difference between the third quartile (Q3) and the first quartile (Q1) of a data set.

Front

How do you determine the linear regression equation from a data set?

Back

To determine the linear regression equation, you can use the least squares method to find the line that best fits the data points, typically in the form y = mx + b, where m is the slope and b is the y-intercept.

Front

What is the median of a data set?

Back

The median is the middle value of a data set when it is ordered from least to greatest. If there is an even number of observations, the median is the average of the two middle numbers.

Front

What is an outlier in a data set?

Back

An outlier is a data point that differs significantly from other observations in the data set. It can skew the results and affect measures like the mean and median.

Front

What does a box-and-whisker plot represent?

Back

A box-and-whisker plot visually represents the distribution of a data set, showing the minimum, first quartile (Q1), median, third quartile (Q3), and maximum values.

Front

How do you interpret the slope in a linear regression equation?

Back

The slope in a linear regression equation indicates the change in the dependent variable (y) for each one-unit increase in the independent variable (x).

Front

What is the formula for calculating the mean of a data set?

Back

The mean is calculated by summing all the values in the data set and dividing by the number of values.

Front

What is the significance of the y-intercept in a linear regression equation?

Back

The y-intercept is the value of y when x is zero. It represents the starting point of the line on the y-axis.

Front

How do you find the range of a data set?

Back

The range is found by subtracting the smallest value in the data set from the largest value.

Front

What is the purpose of using linear regression in data analysis?

Back

Linear regression is used to model the relationship between two variables and to make predictions based on that relationship.