Here is the information you will need to answer the next four questions. In a study, volunteers kept a record of all the food they ate. The amount of protein (in grams per week) and the amount of fat (in grams per week) was then calculated for each person.Would a linear regression give a reasonable prediction for the amount of protein a person eats? O No, because there is too much varíation n the data O Yes, because the scatterplot shows a linear relationship. O Yes, because there is a positive assocíation between protein and fat. O No, because the scatterplot shows a curve, not a straight line.Would a linear regression give a reasonable prediction for the amount of protein a person eats? O No, because there is too much varíation n the data O Yes, because the scatterplot shows a linear relationship. O Yes, because there is a positive assocíation between protein and fat. O No, because the scatterplot shows a curve, not a straight line.What is the slope of the least-squares regression line? O 0.9039 O 0.9224 O 0.9413What is the Y-intercept of the least-squares regression line? O 46.06 O 33.44 O 44.69What is the equation of the least-squares regression line? O predicted protein 33.430.9413 fatO predicted protein 0.941333.43 fat O predicted fat-0.9413 33.43 protein O predicted fat 33.43+0.9413* protein