Examine your classmate’s probl
Examine your classmate’s problem to assess the appropriatenessand accuracy of using a linear regression model.Discuss the meaning of the standard error of the estimate and howit affects the predicted values of Y for that analysis.
The problem I am interested in dealing with is the rate ofillnesses as it compares to people that do or do not wash therehands frequently. This data would be collected throughout the yearto see if there is a correlation of illness with those that do ordo not wash their hands frequently.
A regression analysis would be appropriate due to the fact thatillness are normally higher when personnel do not wash their handson a consistent basis.
The data collection process could occur through a number ofways, I think the most effective way would be to ask health careprofessionals to poll their ill patients and ask if they arefrequent or infrequent hand washers. Data could also be collectedon how many times the patient came in for the same illness orsimilar illness throughout the year.
Answer:
Standard Error measures the accurateness of the estimates of theparameter of any linear regression model. Alternatively, the lowerthe value of standard error the more accuarte is the estimates ofthe parameter. So, if the SE is lower then we can say that thepredictors predict the response variable Y more accurately andefficiently and also the fiiting is good.
In the given problem it is said that the data by asking healthcare professionals to poll their ill patients and ask if they arefrequent or infrequent hand washers. So actually the response hastwo outcomes such as YES or NO i.e. binary. So, we use LogisticRegression model rather than Linear Regression model.
On the other hand if the data could also be collected on howmany times the patient came in for the same illness or similarillness throughout the year. Here the response is a count orfrequency data i.e. the response variable counts the occurences. Sohere we use Poisson Regression model.
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