I. Use the data tables below to record the weights of the indicated number of kernels both before and after popping. Brand of Popping Corn_Onville sederbachers quienet popperig coan Number of Kernels Weight Before Weight After 1 10.8.5 8 3 0.43208 5 0.1256 g 10558 012018 0.4110 8 018058 10 4.53828 Brand of Popping Corn Finst skueet verlow popcorn Number of Kernels 0.14918 0.1251 0.7488 8 1.49828 Weight Before Weight After 1 0.13838 3 0.4114_8 5 0.1106_8 1.39328 10 II. From the datatables, calculate the weight of water lost for each set of kemels. The weight of water lost depends upon the number of kernels and is therefore the dependant 0axis) variable in this case. The independent variable (x-axis) will be the total weight of each set of kernels. Prepare a separate graph for each brand, Brand of Popping Com y-axis Water Lost x-axis Weight Before Number of Kernels 10 Brand of Popping Com Number of Kernels X-axis Weight Before y-axis Water Lost 5 10 III. Draw a "best fit" line through your data points. Make sure your ling goes through the origin. Zero grams of popping corn will have zero grams of moisture, guaranteed. Using points on the line, not data points, calculate a slope for each line. What does this slope represent