Please help me understand:

a)

You run a regression analysis on a bivariate set of data (7!. = 83}. With 5: = 27.6 and y = 41.8, you obtain the regression equation :1; = 2.4163: + 33.139 with a correlation coefficient of r = 0.619. You want to predict what value (on average} for the response variable will be obtained from a value of 50 as the explanatory variable. What is the predicted response value? v = :1 (Report answer accurate to one decimal place.) The table below show data that has been collected from different fields from various farms in a certain valley. The table contains the grams of Raspberries tested and the amount of their Vitamin C content in mg. Find a linear model that express Vitamin C content as a function of the weight of the Raspberries. Round your answers to 3 decimal places V't ' c rrrrrrrr @ Farm A- North Field mm Form B - North Field __E Farm A - South Field _ml Form B - South Field \" Farm C -5mall Field mm mm