Answer :
Calibrating sensor measurements involves using regression lines to relate sensor output to actual temperatures. Accurate temperature measurement often relies on calibration against national standards, and the relationship of calibration values is typically based on a standard temperature of 25°C.
Calibrating a sensor measurement involves establishing the relationship between the sensor output and the actual temperature being measured. The calibration data provided shows a linear relationship between input values (x) and output readings (y) at a calibration temperature of 20°C. To establish a regression line, one would calculate the slope and intercept from the data, which indicates how the sensor output varies with temperature.
In a practical experiment to measure temperature changes, digital thermometers or other instruments are calibrated at fixed points and may be used with interpolation formulas for temperatures between these points. The precise measurement of temperature often requires calibration against national standards to ensure accuracy. The ideal values for equations related to the temperature scale are based on a standard temperature, typically 25°C, and deviations from this can lead to variations in measurements.
By understanding the principles of calibration and temperature measurement, one can ensure the instrumentation used in experiments produces accurate and reliable data across different temperature ranges.