Hello, I really need help with these questions with an explanation as well. Ive been trying to do these questions repeatedly but can't get my hand around it.

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 oftheir Vitamin C content in mg. Find a linear model that express Vitamin C content as a function of the weight of the Raspberries. Vitamin C content in mg A) Find the regression equation: 3; = D3: + C] Round your answers to 3 decimal places B) Answer the following questions using your un-rounded regression equation. If we test 190 grams of raspberries what is the expected Vitamin C content? C] mg (round to the nearest tenth) An unknown metal has been found and the following experimental results have been tabulated in the table below. The table contains the grams ofthe unknown metal and the volume in milliliters ofwater displacement. Find a linear model that expresses mass as a function of the volume. A) Write the linear regression equation for the data in the chart. D12: + C] where x is the grams of the unknown metal. Round your answers to 3 decimal places Volume B) 0' the mass of an unknown metal is 19, using your un-rounded regression equation find its predicted volume. Round your answer to 1 decimal place. [3 mL You run a regression analysis on a bivariate set of data (n = 50). You obtain the regression equation y = 0.205x - 46.307 with a correlation coefficient of r = 0.809 (which is significant at a = 0.01). You want to predict what value (on average) for the explanatory variable will give you a value of 40 on the response variable. What is the predicted explanatory value? X = (Report answer accurate to one decimal place.)