Assignment #2 - Assumptions of regression - 2019
For each of the following four datasets, import the data into R, analyze the data using regression. Then provide the following information in a Microsoft Word Document
DataSet #1 - Relationship between prey density (X; prey/ha) and predation rate (Y; prey killed per predator per day)
DataSet #2 - Relationship between tree basal area (Y; m2) and stand age (X; years)
DataSet #3 - Relationship between prey density (X; prey/ha) and coyote litter size (Y; pups); Note that litter size is not continuous, but that's not the assumption that has been violated.
DataSet #4 - Relationship between road density (X; roads/km2) and probability of habitat use by wolves (Y; %)
For this final dataset, describe the relationship between X and Y using the standard statements. Also, report what the expected number of farmers kill by tigers is at 20.0 prey/ha with prediction intervals. Finally, generate a graph of the y predictions and the prediction intervals like I showed in class.
DataSet #5 - Relationship between prey density (X; prey/ha) and number of farmers killed by tigers (Y; person/km2).
Truth for Datasets #1-4 - Just in case you're interested in how the data was created