Height & Weight: Erroneous DataAs we discussed in chapter 10, sometimes an outlier can make or break a correlation. Data from 11 people regarding height and weight is given in the table below.x = height in inchesy = weight inpounds601207220064130712056818069180691937019562115621405.5160Question 3:Part AUse software to determine the regression equation for predicting weight from height, using 3B1; = 0.05. What is the regression equation? Make sure you show your work and/or copy and paste your output into the body of your post.State the software you used to produce the regression equation.Clearly identify the values for the slope and the y-intercept.What is the expected weight for a person who is 62 inches tall?Part BUse software to calculate the regression equation for predicting weight from height, excluding the last data point corresponding to a height of 5.5 inches (as the entry of 5.5 inches seems to be an error),using 3B1; = 0.05. What is the regression equation without the last data point? Make sure you show your work and/or copy and paste your output into the body of your post.Clearly identify the values for the slope and the y-intercept.Using the regression equation with the last data point excluded, what is the expected weight for a person who is 62 inches tall?Compare your results to those obtained in part A. What can you say about how excluding the outlier affected your results?

# Height & Weight: Erroneous DataAs we discussed in chapter 10, sometimes an outli

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