hello i need help with solutions please thank you

A least-squares curve fit of the data in the table results in a best-fit straight line with the equation y = 0.615x + 1.35. 3 If the y value of a new measurement is 3.36, what is the corresponding x value and the uncertainty in the x value? The uncertainty in y (s,) is 0.196. 6 5 X = Suppose y was measured five times and average of these five measurements was 3.36. What is the uncertainty in x based on these five measurements?1A calibration curve was crealed to determine the quantity of protein in a solution. The calibration curve has the form of a straight line with the equation A =0.0182x + 0.007 where A is the corrected absorbance of the solution and x is quantity of protein in the solution in units of micrograms (pg). Determine the quantity of protein in a solution that has an absorbance of 0.319. A blank solution has an absorbance of 0.067. quantity of protein: pg The data in the table are used to create a calibration curve for the determination of RNA from its absorbance at 260 nm. RNA | Absorbance at 260 (ng) nm Use a spreadsheet and the least-squares method to determine the slope and y-intercept of the 0.00 0.181 best straight line fit to the calibration curve. Do not subtract the blank reading when creating 10.16 0.486 the calibration curve. 2032 0.722 3048 1.034 Using the slope and intercept of the calibration curve, determine the quantity of RNA in a sample that gives an absorbance of 0.607. mass = HE