help
This is my last assignment of the year and i absolutely dont know how to start this program. I need to Write a program that uses linear regression to determine the equation of the straight line that best fits the data shown on the back of this page:
Number of data points: a
Mean value of Temperature (deg. F): a.aa
Mean value of Resistance (Ohms): a.aa
The equation of the best fit line is: y = (a.aa)x + a.aa
The R-squared value is: a.aaaa
The resistance characteristics of a thermistor can be found by placing it in an oven where its temperature can be varied while its resistance to electrical current is measured. One such exercise resulted in the following data:
Temperature(F) Resistance(Ohms)
100 13580
121 10430
139 7576
160 5328
182 3446
201 2308
220 1578
240 932
258 726
284 416
299 169
Also the following is required:
1) Write a function to load the arrays. Do not hardcode the number of data points (n) — count them as you load the arrays.
2) Pass the arrays to a second function that will calculate the slope, y-intercept and R-squared value of the best-fit straight line. (This will involve the summations.)
3) Write a third function that will return the average value of any array passed to it. (Call it twice to obtain Tavg, and Ravg.)
4) Write a fourth function to output the results to the console. Be sure to format your results very neatly and very clearly. Make it look professional:
In conclusion Im not looking for anyone to do this for me, i jus desperately need guidance!
Number of data points: a
Mean value of Temperature (deg. F): a.aa
Mean value of Resistance (Ohms): a.aa
The equation of the best fit line is: y = (a.aa)x + a.aa
The R-squared value is: a.aaaa
The resistance characteristics of a thermistor can be found by placing it in an oven where its temperature can be varied while its resistance to electrical current is measured. One such exercise resulted in the following data:
Temperature(F) Resistance(Ohms)
100 13580
121 10430
139 7576
160 5328
182 3446
201 2308
220 1578
240 932
258 726
284 416
299 169
Also the following is required:
1) Write a function to load the arrays. Do not hardcode the number of data points (n) — count them as you load the arrays.
2) Pass the arrays to a second function that will calculate the slope, y-intercept and R-squared value of the best-fit straight line. (This will involve the summations.)
3) Write a third function that will return the average value of any array passed to it. (Call it twice to obtain Tavg, and Ravg.)
4) Write a fourth function to output the results to the console. Be sure to format your results very neatly and very clearly. Make it look professional:
In conclusion Im not looking for anyone to do this for me, i jus desperately need guidance!
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