Making Predictions with Scatter Plot Trend Lines

The video tutorial explains how to use scatter plot trend lines to answer questions about data. It begins with an introduction to scatter plots and the importance of trend lines for simplifying data analysis. The instructor demonstrates how to draw a trend line through the data points, ensuring it represents the average. The video then covers estimating the number of visitors at a beach when the temperature is 70°F and determining the temperature when there are 150 visitors, using the trend line for both estimations. The tutorial concludes with tips for effectively using trend lines in data analysis.

What two variables are being tracked in the scatter plot?

• Number of visitors and average daily temperature

• Number of visitors and daily rainfall

• Number of visitors and daily wind speed

• Average daily temperature and daily rainfall

Tags

CCSS.HSF-LE.A.1B

Why is it important to draw a trend line on a scatter plot?

• To connect all the data points

• To average out the data and make it easier to interpret

• To separate the data into two halves

• To highlight the highest and lowest points

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CCSS.8.SP.A.2

What is the first step before drawing a trend line?

• Finding the mean of the data points

• Counting the data points

• Drawing an outline around the data

• Labeling the axes

Where should the trend line ideally pass through?

• The highest data point

• The lowest data point

• The middle of the data blob

• The origin (0,0)

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CCSS.8.EE.B.5

How many visitors can the beach expect when it’s 70 degrees Fahrenheit?

• 225 visitors

• 150 visitors

• 200 visitors

• 210 visitors

Tags

CCSS.HSF.LE.B.5

What should you do after finding the temperature on the x-axis to estimate the number of visitors?

• Draw a horizontal line

• Draw a vertical line

• Go down until you hit the trend line

• Go up until you hit the trend line

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CCSS.HSF.IF.A.2

What temperature corresponds to 150 visitors according to the trend line?

• 55 degrees Fahrenheit

• 48 degrees Fahrenheit

• 50 degrees Fahrenheit

• 45 degrees Fahrenheit

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CCSS.HSF-IF.C.7A

When estimating temperature from the number of visitors, what is the final step after hitting the trend line?

• Go over to the y-axis

• Go over to the x-axis

• Go down to the x-axis

• Go up to the x-axis

Why should you ignore the individual data points when using the trend line for estimation?

• They are not accurate

• They are too many to consider

• They are outliers

• The trend line represents the average of all data points

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CCSS.8.SP.A.3

What is the best approach to estimate values using a trend line?

• Find the value, go up to the trend line, then go over to the other axis

• Find the value, draw a horizontal line, then go over to the other axis

• Find the value, go down to the trend line, then go over to the other axis

• Find the value, draw a vertical line, then go over to the other axis