Create a logistic regression model using Radius and Concave as explanatory variables to estimate the probability that a mass is malignant a Using Radius as the first explanatory variable, x1, and Concave as the second explanatory variable, x2, submit the logistic regression model In other words, find the coefficients for the model For i 1,2, brvbar ,n b Submit the likelihood ratio test results, including the log likelihood (or deviance) values c Concave 0 represents round cells and Concave 1 represents concave cells Calculate the event probability when Radius 4 and the cells are concave Also calculate the event probability when Radius 4 and the cells are not concave E, 1 ButB,

Question: Create a logistic regression model using Radius and Concave as explanatory variables to estimate the probability that a mass is malignant. a. Using Radius as

Create a logistic regression model using Radius and Concave as explanatory variables to estimate the probability that a mass is malignant.
a. Using Radius as the first explanatory variable, x1, and Concave as the second explanatory variable, x2, submit the logistic regression model. In other words, find the coefficients for the model

For i = 1,2,€¦,n
b. Submit the likelihood ratio test results, including the log- likelihood (or deviance) values.
c. Concave = 0 represents round cells and Concave = 1 represents concave cells. Calculate the event probability when Radius = 4 and the cells are concave. Also calculate the event probability when Radius = 4 and the cells are not concave.

+ E, 1+ +ButB,

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