STAT 200: Lab Activity for Section 9.1 Inference for Slope and Regression - Learning objectives: Use technology to obtain relevant regression and correlation output Test the hypothesis about the slope of a regression model Test of evidence of a linear association between two quantitative variables using sample correlation Identify and interpret the value of R2 for a regression model Plot your data to check for obvious departures from the simple linear model. Activity 1: Possum Data The possum data set1 consists of nine morphometric measurements on each of 104 mountain brushtail possums, trapped at seven sites from Southern Victoria to central Queensland." The complete data set is available on Kaggle1. 1https://www.kaggle.com/datasets/abrambeyer/openintro-possum Research Question: Can we use total length to predict a possum's head length? We will consider two morphometric measurements: Total Length (centimeters) and Head Length (millimeters) Exploratory Data Analysis When considering the research question, identify the two variables Predictor (Explanatory) Variable: Response Variable: Use Minitab to first create a scatterplot. Minitab> Graph > Scatterplot How would you characterize the association between these two variables? linear or nonlinear? negative, none, or positive? Analysis: Linear Regression and R2 Is it appropriate to consider the simple linear model for this data? Now