I have created the variables noisy value and noisy sqft which have random noise added to...

 

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I have created the variables noisy value and noisy sqft which have random noise added to the actual variables. Take a look at the relationship between these variables by creating a variable equal to the difference between the reliable and noisy data for value then summarize your new variable. You can, but do not need to, do the same thing for the square footage. Perform the regression mkt_value baths 48 bedrms BCBD dist lot size 8 sqft then predict what your coefficient will be if you use the noisy value of square footage instead of the actual value. The standard deviation of the noise on noisysqft is = 100 square feet. Why did your actual result differ from your prediction? I have created the variables noisy value and noisy sqft which have random noise added to the actual variables. Take a look at the relationship between these variables by creating a variable equal to the difference between the reliable and noisy data for value then summarize your new variable. You can, but do not need to, do the same thing for the square footage. Perform the regression mkt_value baths 48 bedrms BCBD dist lot size 8 sqft then predict what your coefficient will be if you use the noisy value of square footage instead of the actual value. The standard deviation of the noise on noisysqft is = 100 square feet. Why did your actual result differ from your prediction?

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To create a variable equal to the difference between the reliable and noisy data for value you can d... View the full answer