Using your data from the Discussion from Week 2, go back and 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?

I have attached my week 2 information:

Post: Good Evening Class

I chose data set number one for this discussion. For the mean, median, mode, I used the excel formulas to calculate them to find the value for the weights. All the numbers are different. The mean, which is the average number of a data set, was 130.181 for the weights of the 14-year-old boys. The median, which is the number in the middle, came out to be 128.477 for the data set and it was not far off from the mean. There was no mode (the same exact number repeated more than once) found for this data set because there was not any of the boys sharing the same weight. The scatterplot shows that the 14-year-old males in the sample stayed steady for the most part with a slightly positive association between their weights and heights. This makes sense because, usually speaking, weight increases with height. This leads us to believe that the dataset reasonably represents the results we would anticipate if we took a comparable random sample of 14-year-old males and took note of their weights and heights. For the same reason as previously stated, we would probably observe a higher positive correlation if we used an actual data set.