User manual LEXIBOOK GC2000

5. Coordinate conversion This calculator can implement the conversion between rectangular coordinates and polar coordinates. The calculation result is saved in variable register I and J and the initial display is the data in variable register I. Press to display the data in variable register J. For polar coordinates, can be calculated from the range of ­180° < < 180° and radian and grad are calculated from the same range. The following operations are invalid in base BASE_N status. Refer to example 4 in "Quick Introduction" for the selection of measurement unit mode. Si x=9, y=19, calculate r and Select "DEG" in SET UP mode 21.02379604(r) (continued) 64.65382406 64° 39'13.77"( ) Si x=3.7, y=-13, calculate the radian value of r and_ Select "RAD" in SET UP mode 13.51628647(r) (continued) -1.293512928( ) Si r=18, =72° calculate the value of x and y. Si r=3, =2/7 , calculate the value of x and y in radian. Select "DEG" in SET UP mode 5.562305899(x) (continued) Select "RAD" in SET UP status 1.870469406(x) (continued) 2.345494447(y) 17.11901729(y) The following operations are invalid in base BASE_N status. 3+ 7 = 4.377802119 32+52+72 = 83 68+13 = 9 1-sin2 30° = 0.8660254038 Select "DEG" in SET UP status 4.377802119 83. 9. 0.8660254038 (continued) 30. 120. 32. 5! = 120 2!+3!+4! = 32 Calculate the absolute value of common logarithm of 6/13 |log6/13| = 0.3357921019 Calculate the integer part of 5126/189 0.3357921019 27 Calculate decimal part 5126/189 0.121693121 Calculate the linear regression of the above data, and get constant term and correlation coefficient of the regression formula. Use regression formula to calculate estimated for xi=100 and estimated when yi=15. Calculate the logarithm regression of the above data to decide constant term and correlation coefficient of regression formula. Then use regression formula to calculate estimated when xi=36 and estimated when yi=17. Calculate the exponential regression of the above data to decide constant term and correlation coefficient of the regression formula. Then use regression formula to calculate estimated when x i=9 calculate estimated when yi=13. Calculate the power regression of the above data to decide constant term and correlation coefficient of the regression formula. Then use regression formula to calculate estimated when xi=40 and estimated when yi=72.