Regression Analysis /text/scalc/01/statistics_regression.xhp Analysis toolpack;regression analysis regression analysis;Analysis toolpack Data statistics;regression analysis

Regression Analysis

Produces the regression analysis of a data set
Choose Data - Statistics - Regression
For more information on regression analysis, refer to the corresponding Wikipedia article.

Output Regression Type

Set the regression type. Three types are available: Linear Regression: find a straight line in the form of y = a.x + b, where a is the slope and b is the intercept that best fits the data. Logarithmic regression: find a logarithmic curve in the form of y = a.ln(x) + b, where a is the slope, b is the intercept and ln(x) is the natural logarithm of x, that best fits the data. Power regression: Find a power curve in the form of y = a.x^b, where a is the coefficient, b is the power that best fits the data. The results of the three types of regression analysis of the measurements in the table above are shown below. Regression Regression Model Linear Logarithmic Power R^2 0.1243901235 0.036283506 0.0884254697 Standard Error 1.8692568609 1.9610483597 0.7746321053 Slope -0.2193939394 -0.4894112008 4.812672931 Intercept 4.8666666667 4.3992268695 -0.3103085297 1 4.6472727273 4.3992268695 4.812672931 2 4.4278787879 4.0599928755 3.8812728356 3 4.2084848485 3.8615537101 3.4224061924 4 3.9890909091 3.7207588815 3.1301272785 5 3.7696969697 3.6115499281 2.9207204651 6 3.5503030303 3.5223197161 2.7600654308 7 3.3309090909 3.4468766468 2.6311476385 8 3.1115151515 3.3815248876 2.5243514679 9 2.8921212121 3.3238805506 2.4337544465 10 2.6727272727 3.2723159341 2.3554713075