A biologist is studying the levels of heavy metal contaminants among a population of the South Nakaratuan Chubby Bat. The biologist is interested in constructing a simple linear regression model to investigate the relationship between weight of an animal and the level of heavy metal contamination. In the proposed regression model the level of contaminant is the response variable and weight is the explanatory variable. The contaminant level is measured in parts per billion (ppb) and weight in grams.A random sample of 20 individuals is selected and measurements are taken.Download the dataContaminant study inSouth Nakaratuan Chubby BatContaminant level(ppb) Weight(g)138 101224 145166 112201 138210 129167 120161 110217 141197 127166 118213 143202 124213 132189 120178 124236 148193 137160 117163 121247 103Plotting the data, the researcher notices an obvious outlier. They decide to do the regression analysis with and without the outlier and compare the results.Calculate the slope (b1) and intercept (b0) of the simple regression equation using the data provided. Give your answers to 2 decimal places.a)Slope = b1 =b)Intercept = b0 =Find the proportion of variation in the values of contaminant level that is explained by the regression model. Give your answer as a decimal to 2 decimal places.c)R2 =Repeat this process omitting the outlier:d)Slope = b1 =e)Intercept = b0 =Find the proportion of variation in the values of contaminant level that is explained by the regression model. Give your answer as a decimal to 2 decimal places.f)R2 =