Big Ideas Math Algebra 2, 2014
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Big Ideas Math Algebra 2, 2014 View details
3. Modeling with Linear Functions
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Exercise 19 Page 27

The correlation coefficient is r in the linear regression output on your graphing calculator. Is it positive or negative?

Line of best fit: y=0.42x+1.44
Correlation coefficient: r=0.61
This is a weak, positive correlation.

Practice makes perfect

Let's begin by entering the data into our calculator and using the linear regression analysis tools. If you need more explanation on how enter the data into a calculator, please look at the end of this exercise.

Substituting the values of a and b into the equation y=ax+b gives us the equation for the line of best fit.

y=0.42x+1.44 The value of r in the calculator output gives us the value of the correlation coefficient. r=0.614817≈0.61 This tells us that the correlation is positive and weak. We know that it is weak because it is not close to 1. A correlation of 1 would be a direct correlation explained by a line that goes through all of the points. We can verify the weak correlation by plotting the data points and graphing the line on the same coordinate plane.

Showing Our Work

Plotting the data points and graphing the line on the same coordinate plane

Looking at the given graph, we need to enter all of the x-coordinates and y-coordinates of the graphed points into the calculator. The coordinates of one point should be in one row. In the first column we should write its x-coordinate, and in the second row we write the y-coordinate. The third column should stay empty.

With this entered, we can use the linear regression feature to find the line of best fit.