Logistic regression analysis

Logistic regression analysis Assignment Help Logistic regression analysis
Predicting the type of animal that is most likely pet to be found wandering in the street. The pets were divided into three groups which are cats, dogs, and other categories. Developing the logistic regression analysis involved making a model that will protect the probability of finding a dog or a cat in the streets. The methods used involved first developing a model that would assign one the subtype column if it contains a cat and 0 if it has a dog. That was done such that the entire olm has only 0 and in data. The next step involved turning the sex upon outcome data to numerical. This was done by counting the length of the data in the column. The column had three different entries. The first entry was unknown, which had length 7, the second entry was spayed female of length 13. There was also an intact female of length 13. It, therefore, assumed that whenever 13 appeared in the length column, it signified a female. The third entry was spayed male of length 11 and an intact male of length 13 too. It was assumed that whenever 11 appeared in the column, it signified male.

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Logistic regression analysis
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The third step involved constructing the logit function, which is used to model the probability of a particular class existing in only two options, which in our case was one to signify cat and 0 to mean dog. The out would then be used to develop a binary dependent variable that would come independent variable in the test.
The following model was developed from the logistic regression
P (animal = 1) = e 0.112827*(1) +0.39568*(0) / (1+e1 + 0.112827*(0)) = 6.9
The probability is greater than 0.5 it concluded that the probability of getting a cat is higher than the probability of getting a dog in the street.
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