Scatterplots and Making Predictions

Front

What is a scatterplot?

Back

A scatterplot is a graph that displays values for typically two variables for a set of data. Each point represents an observation in the dataset.

Front

How can scatterplots be used to make predictions?

Back

Scatterplots can show trends or patterns in data, allowing us to make predictions about one variable based on the value of another.

Front

What does it mean to extrapolate data from a scatterplot?

Back

Extrapolating data means estimating values outside the range of the data points based on the trend observed in the scatterplot.

Front

What is the formula for finding a proportion?

Back

Proportion = (Part / Whole) x 100. This formula helps in predicting outcomes based on sample data.

Front

If 40 out of 100 students prefer cheese pizza, how many out of 340 would prefer it?

Back

200 students would prefer cheese pizza, calculated using the proportion: (40/100) * 340 = 200.

Front

What is a trend line in a scatterplot?

Back

A trend line is a straight line that best represents the data on a scatterplot, showing the general direction of the data points.

Front

How do you calculate the expected number of broken lightbulbs in a larger shipment?

Back

Use the proportion of broken bulbs in the sample: (4 broken / 25 total) * 125 = 20 broken bulbs expected.

Front

What is the importance of sample size in making predictions?

Back

A larger sample size generally provides more reliable data, leading to more accurate predictions.

Front

What does it mean if points on a scatterplot are closely clustered together?

Back

If points are closely clustered, it indicates a strong correlation between the two variables.

Front

What is the difference between correlation and causation?

Back

Correlation indicates a relationship between two variables, while causation implies that one variable directly affects the other.