Question

Use the data tab of the graphing tool to display the data from Luther’s table in a scatter plot, with x representing the number of pitches thrown and y representing the average speed of the pitches. Select the relationship tab to add the best fit linear function to the graph.
What are the equation of the line of best fit and the absolute value of the correlation coefficient?

Answer 1

The equation of the line of best fit is y = -4.75X + 88.6 and the absolute value of the correlation coefficient is 0.906

The equation of the line of best fit

The data values of the question are as follows:

(1, 88), (2, 75), (3, 71), (4, 69), (5,66), (6, 68), (7, 50)

To determine the equation of the line of best fit, we make use of a graphing calculator.

From the graphing calculator, we have the following summary:

• Sum of X = 28
• Sum of Y = 487
• Mean X = 4
• Mean Y = 69.5714
• Sum of squares (SSX) = 28
• Sum of products (SP) = -133
• The value of R is: -0.906.

The line of best fit equation is

y = bx + a

Where

b = SP/SSX = -133/28 = -4.75

a = MY - bMX = 69.57 - (-4.75*4) = 88.57143

So, we have:

y = -4.75X + 88.57143

Approximate

y = -4.75X + 88.6

Hence, the equation of the line of best fit is y = -4.75X + 88.6

The absolute value of the correlation coefficient

In (a), we have:

The value of R is: -0.906.

This represents the correlation coefficient.

The absolute value is

|R| = 0.906.

Hence, the absolute value of the correlation coefficient is 0.906

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