This lesson covers trendlines and predictions, starting with an introduction to trendlines and their use in scatter plots. It explains how to create a scatter plot using bivariate data and how to draw a trendline to make predictions. The lesson also details finding the equation of a trendline using slope and y-intercept, and concludes with the concepts of interpolation and extrapolation for making predictions within and outside the data range.

What is a trendline in the context of data analysis?

• A line that connects all data points on a graph

• A curve that passes through the maximum number of data points

• A straight line that best fits the data points on a scatter plot

• A line that only connects the first and last data points

In Joyce's training data, what type of data is being plotted on the scatter plot?

• Categorical data

• Univariate data

• Bivariate data

• Multivariate data

When drawing a trendline, why is it important to ignore outliers?

• Outliers are included in the trendline calculation

• Outliers can skew the trendline away from the main data pattern

• Outliers do not affect the trendline

• Outliers are always incorrect data points

What is the formula used to find the equation of a trendline?

• y = mx^2 + b

• y = a/x + b

• y = ax^2 + bx + c

• y = mx + b

How can the slope of a trendline be calculated?

• By measuring the distance between the first and last points

• By using the formula y2 - y1 over x2 - x1

• By counting the number of data points

• By finding the average of all y-values

What does the 'm' represent in the equation y = mx + b?

• The midpoint of the line

• The x-intercept

• The slope of the line

• The y-intercept

Which method can be used to find the slope of a trendline?

• Using the midpoint formula

• Using the Pythagorean theorem

• Using the rise over run method

• Using the quadratic formula

What does the 'b' represent in the equation y = mx + b?

• The y-intercept

• The slope of the line

• The midpoint of the line

• The x-intercept

What is interpolation in the context of data prediction?

• Creating a new data set from existing data

• Ignoring data points that do not fit the trend

• Predicting data points outside the known range

• Predicting data points within the known range

What is extrapolation in data analysis?

• Predicting data points outside the known range

• Predicting data points within the known range

• Removing outliers from a data set

• Adjusting data points to fit a trendline