4 points The weight of 12 students and theirjump height are shown in the table. Copy this data and paste it into StatCrunch: Stat - Regression - Simple Linear. Run the regression analysis. Identify r and r2, and then make predictions for values ofx below. lfx cannot be determined by the model, use the answer "DNE" for does not exist. Maximum_weight,_x Jump_height,_y 190 61 185 57 155 55 180 59 175 55 170 64 150 52 160 51 160 48 180 58 190 58 210 65 Using StatCrunch, we nd that r is ' type your answer... ' and r2 is ' type your answer... (Paste this from the Regression Analysis and do not round your answers). This is a (positive or negative) type your answer... ' (weak, moderate or strong) ' type your answer... ' correlation. The linear equation for the regression line copied directly from StatCrunch is ' type your answer... ' We can use the regression line to make predictions for the following values of x. Round all answers to two decimal places. Be sure to follow the rules of the domain. 1.) 165 ' type your answer... ' 2.) 195 type your answer... 3.) 200 type your answer... ' 4.) 140 ' type your answer... ' 5.) 205 ' type your