Using the values in the table, perform linear regression for the R vs 1/A plot to determine the equivalent resistivity (Note: True value of resistivity is 0.35 22 cm) Cross-sectional Area, A (cm²) Resistance, R (22) 5.98 6.97 7.96 8.96 9.95 0.595 0.510 0.447 0.397 0.357
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- The circumference of a sphere was measured to be 87 cm with a possible error of 0.5 cm. Use linear approximation to estimate the maximum error in the calculated surface area. X Estimate the relative error in the calculated surface area. 0.0115Can you please help with 4.30 sulfur, the ocean and the sun? Only part A which is make a scatter plot that shows how DMS responds to SRD.SI The circumference of a sphere was measured to be 77 cm with a possible error of 0.5 cm. Use linear approximation to estimate the maximum error in the calculated surface area. Estimate the relative error in the calculated surface area. Question Help: D Video Submit Question Jump to Answer MacBook Pro 000 000 3. 4. 5. 9. 7.
- Using the data in Table I, use a right-endpoint estimate to calculate the distance traveled by the aircraft from t = 0 to t = 45 seconds. Using the data in Table I, use a left-endpoint estimate to calculate the distance (total change) traveled by the aircraft from t = 0 to t = 45 seconds. Find the best estimate for the distance traveled by the aircraft from t = 0 to t = 45 seconds. Table I t in seconds 0 5 10 15 20 25 30 35 40 45 v(t) in feet per second 274.27 223.19 179.23 141.4 108.83 80.80 56.68 35.91 18.04 2.65 s(t) ?Do what the image says and answer the question show work 1. What is the slope (m±δm) of your linear fit? 2.What is the speed (v±δv) of the car according to Table 1 graphA regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of sit-ups a person can do (y). The results of the regression were: y=ax+b a=-1.019 b=39.062 R squared = 0.931225 R= 0.965
- On the data set predict y values to create a residual plot.Run a regression with S3 as DV and PRICE, AD and STORE SIZE asindependent variables. Interpret the output.Use the regression line to make the appropriate prediction. A random sample of records of electricity usage of homes in the month of July gives the amount of electricity used and size (in square feet) of 135 homes. A regression was done to predict the amount of eleçtricity used (in kilowatt-hours) (y) from size (x). The residuals plot indicated that a inear model is appropriate. The model is y = 0.2x+ 1271. How much electricity would you predict would be used in a house that is 2471 square feet? 494.2 kilowatt-hours O 6000.00 kilowatt-hours O 1765.2 kilowatt-hours O 776.8 kilowatt-hours 3742.2 kilowatt-hours
- Use differentials to estimate the amount of paint needed to apply a coat of paint 0.05 cm thick to a hemispherical dome with diameter 50 m. Estimate the relative error in computing the surface area of the hemisphere. O 0.002 O 0.02 O 0.00002 O 0.2 O (E) None of the choicesThe circumference of a sphere was measured to be 71 cm with a possible error of 0.5 cm. Use linear approximation to estimate the maximum error in the calculated surface area. 22.6 Estimate the relative error in the calculated surface area. 0.014Using stress and strain data in the picture. Find strain for stress = 12.5 Pa using Linear, Quadratic and Cubic interpolations.
