The difference in actual value and calculated one is because the data doesn't exactly follows power law.
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3. Fit a power regression equation to the following data: X 3 ly | i7 4...
ce the given data to find the equation of the regression line. Fill out the table below and show how you calculate each value below. Round the final values of a and b to three decimal places, if necessary. 5) x 0 3 4 5 12 y 8 2 6 9 12 5) X-7 y-y (x-7)(y- 0 3 y 8 2 6 9 4 5 12 12 b=
Please write the codes in MATLAB. HW8_4 Fit the data in the table using linear regression. Plot the data points as well as the regression line. Determine the value of y whenx = 7.2 and print it to the screen using fprintf Then repeat the process, regressing in the opposite way (x vs y) to find the equation of the line needed to determine the value of x when y is 15 Optional brain food: Do you get the same...
1 8 16 Since we now have quadratic and power models that both Year PCB Conc. model curved data, reconsider the previous question. 1.0 2 1.9 a) Notice the power curve in the previous question is not that 4 4.2 great of a fit to the data (compare the fit of a quadratic 6 7.2 curve below to the power function above). Use regression 11.8 to find a quadratic equation to model the PCB Concentration in Lake Trout data. Round...
4. (35 points) Use multiple linear regression to fit the following experimental data, 12 1 4 5.5 1.5 5 y 13 22 16 9 9 (a) Compute the coefficients, the coefficient of determination , the standard deviation Sy, and the standard error of the estimate S/. Show your calculations. (b) Write a MATLAB script that solves part (a).
2 4 6 Since we now have quadratic and power models that both model curved data, reconsider the previous question. Year PCB Conc. 1 1.0 1.9 a) Notice the power curve in the previous question is not that 4.2 great of a fit to the data (compare the fit of a quadratic 7.2 curve below to the power function above). Use regression 8 11.8 to find a quadratic equation to model the PCB Concentration in Lake Trout data. Round the...
11. (20 pts) The regression equation for the following set of data points is y = 6.65 + 1.47x. X 1 3 6 7 8 у 9 10 15 17 19 Use formula to find the coefficient of determination for the set of data points.
Use the given data to find the equation of the regression line. Fill out the table below and show how you calculate each value below. Round the final values of a and b to three decimal places, if necessary. 5) x 10 3 4 5 12 y 18 2 6 9 12 5) y = Y x-X y-у (x - 2)2 (x - x)(y-y) y 8 0 3 2 4 6 5 9 12 12 b = ge ý=
Use the given data to find the equation of the regression line. Fill out the table below and show how you calculate each value below. Round the final values of a and b to three decimal places, if necessary. 5) x 10 3 4 5 12 y 18 2 6 9 12 5) y = Y x-X y-у (x - 2)2 (x - x)(y-y) y 8 0 3 2 4 6 5 9 12 12 b = ge ý=
The same data will be used for the next 3 short essay questions. The following table gives data collected from an experiment done on plant growth. Fertilizer X and Fertilizer Z represent different types of fertilizer added to the plants during the experiment. The first two columns give the weeks that data were collected and the average growth of the plants. Eleven trials were done and the averages represent the average growth in the eleven trials during each week. The...
Based on the data shown below, calculate the regression line (each value to two decimal places) х+ у- X y 16.24 3 4 17.02 5 20.7 6 23.48 7 22.56 8 26.14 9 26.32 10 28.7 11 29.48 12 30.16 Based on the data shown below, calculate the regression line (each value to two decimal places) х+ у- X y 16.24 3 4 17.02 5 20.7 6 23.48 7 22.56 8 26.14 9 26.32 10 28.7 11 29.48 12 30.16