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Given data in Table 6.2 (attached), the response variable is n, representing the number of surviving bacteria (in hundreds) after being exposed to X-ray for

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Given data in Table 6.2 (attached), the response variable is n, representing the number of surviving bacteria (in hundreds) after being exposed to X-ray for t intervals. The predictor variable is t. 1) First regress me on time t, plot residuals against the fitted values nt. Conclude if the relationship between the mean response and the predictor is linear. 2) Use data transformation on the response variable, i.e., regress log(n ) on t. . What is the regression line equation? Plot residuals against the fitted values, and conclude if the violation of the "L" assumption still exists

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