Big Ideas Math Integrated I, 2016
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Big Ideas Math Integrated I, 2016 View details
5. Analyzing Lines of Fit
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Exercise 29 Page 198

Practice makes perfect
a The line of best fit for the data was found to have a slope of 381 and a y-intercept of - 566.

y= 381x -566We need to use this equation to predict how many people reported the earthquake after 9 minutes and after 15 minutes. We can substitute these values for x in the equation and evaluate y.

y=381x-566
y=381( 9)-566
y=3429-566
y=2863

After 9 minutes, the line of best fit predicts that approximately 2863 people would have reported the earthquake. Let's see what number the model predicts after a quarter of an hour.

y=381x-566
y=381( 15)-566
y=5149

We have found that after 15 minutes approximately 5149 people would have reported the earthquake if the trend continues.

b Let's compare the predicted results to the observed results.
Minutes Predicted Observed
9 2863 2750
15 5149 3200

For 9 minutes, the prediction is higher than the observed number but it is not that much higher. After 15 minutes, the predicted value is significantly higher than the observed value.

Explaining the Results

The line of best fit is a straight line that will continue on with the same slope forever. More than likely, after a certain number of minutes everyone who will report the earthquake has already done so. The trend will slow down and eventually stop growing.