Big Ideas Math Algebra 1, 2015
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Big Ideas Math Algebra 1, 2015 View details
5. Analyzing Lines of Fit
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Exercise 14 Page 206

Use the linear regression feature on your graphing calculator. The correlation coefficient is r in the linear regression output on your graphing calculator.

Line of Best Fit: y=- x+11
Correlation Coefficient: r=-0.444
Interpretation: A moderate, negative correlation

Practice makes perfect

We have been given a table with data for x and y.

x 5 6 7 8 9 10 11 12
y 12 - 2 8 3 - 1 - 4 6 0

In order to find a line of fit using our calculator, we need to first enter the values. Let's press the STAT button.

Illustration of the STAT menu on the calculator

Then we choose the first option in the menu, Edit, and fill in the values in lists L1 and L2.

Illustration of the lists on the calculator with six ordered pairs written

We can perform a regression analysis on the data by pressing the STAT button again, followed by using the right-arrow key to select the CALC menu.

Illustration of the STAT + CALC menu on the calculator

This menu lists the various regressions that are available. If we choose the fourth option in the menu LinReg(ax+b) and press ENTER, the calculator performs a linear regression using the data that was entered.

Illustration of the LinReg(ax+b) window on the calculator

We can round the value of b and substitute it along with a into the equation y= ax+ b. This gives us the equation for the line of best fit. y= -1 x+ 11 ⇔ y=- x+11 We can see how the line fits with the data by plotting the data points and graphing the line on the same coordinate plane.

Scatter plot of the data with a line of fit.

The calculator output gives us the value of the correlation coefficient, r. r=-0.4435≈-0.444 This tells us that correlation is both negative and moderate. We can tell that it is moderate because it is around -0.5, which is a halfway between a direct correlation and no correlation.