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latasha was presented with the following data set and argued that there…

Question

latasha was presented with the following data set and argued that there was no correlation between x and y. is latasha correct? use the regression equation to explain your reasoning.

Explanation:

Step1: Calculate the means of \(x\) and \(y\)

The mean of \(x\) values: \(\bar{x}=\frac{1 + 2+3+4+5+6+7}{7}=\frac{28}{7} = 4\)
The mean of \(y\) values: \(\bar{y}=\frac{4 + 5+4+5+4+5+4}{7}=\frac{31}{7}\approx4.43\)

Step2: Calculate the slope \(b\) of the regression line

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Since \(b = 0\), the regression equation is \(y=a\). Using the formula \(a=\bar{y}-b\bar{x}\), and since \(b = 0\), \(a=\bar{y}\approx4.43\). The regression equation is \(y = 4.43\) (a horizontal line).

Answer:

LaTasha is correct. Since the slope \(b = 0\) in the regression equation \(y=a\) (a horizontal line), there is no linear correlation between \(x\) and \(y\).