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Perform a linear regression. Find the equation of the linear equation that best fits your data and calculate the correlation coefficient (R). How does this

Perform a linear regression. Find the equation of the linear equation that best fits your data and calculate the correlation coefficient (R). How does this compare to your analysis in week 2?

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In your response posts, you will discuss the results and whether or not the results show a strong correlation or not. Discuss the value of R and what it means? What is ideal? Is this a good fit? Also, give examples in the real world where linear regression would make sense? When is a linear model the ideal model? In these cases what would you expect the value of R to be?

Height (in) Weight (lbs) 65.84 - 109.65 65.77 - 130.16 71.14 - 137.11 67.83 - 113.76 65.07 - 114.97 69.71 - 127.71 69.93 - 122.00 66.12 - 117.96 68.61 - 127.71 69.00 - 117.96 66.79 - 125.16 68.02 - 141.10 69.67 - 145.48 71.82 - 116.07 72.75 - 135.75 67.28 - 132.92 67.41 - 115.66 68.53 - 114.32 68.47 - 148.95 68.52 - 142.19

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