# Functii in Excel

(8/10)

Acest seminar prezinta Functii in Excel.
Mai jos poate fi vizualizat un extras din document (aprox. 2 pagini).

Arhiva contine 1 fisier doc de 19 pagini .

Iti recomandam sa te uiti bine pe extras si pe imaginile oferite iar daca este ceea ce-ti trebuie pentru documentarea ta, il poti descarca.

Domeniu: Statistica

## Extras din document

Fisiere help pentru functii si calcule de estimare in Excel (de probat functiile!)

Din Tools-Data Analysis- se vor studia aplicatiile: Regression, Correlation, Covariance, Exponential Smoothing;

Din functiile statistice se vor parcurge: Correlation, Covariance, Intercept, linest, logest, slope, trend, forecast, growth, RSQ, Pearson.

Mai jos sunt selectate helpurile aferente din Excel. Incercati sa faceti toate exemplele, chiar daca sunt mai mult economice, chiar incercati sa concepeti dupa acelasi model exemple cu calitatea si fiabilitatea!

RSQ

Returns the square of the Pearson product moment correlation coefficient through data points in known_y's and known_x's. For more information, see PEARSON. The r-squared value can be interpreted as the proportion of the variance in y attributable to the variance in x.

Syntax

RSQ(known_y's,known_x's)

Known_y's is an array or range of data points.

Known_x's is an array or range of data points.

Remarks

. The arguments must be either numbers or names, arrays, or references that contain numbers.

. If an array or reference argument contains text, logical values, or empty cells, those values are ignored; however, cells with the value zero are included.

. If known_y's and known_x's are empty or have a different number of data points, RSQ returns the #N/A error value.

. The equation for the r value of the regression line is:

Example

RSQ({2,3,9,1,8,7,5},{6,5,11,7,5,4,4}) equals 0.05795

PEARSON

Returns the Pearson product moment correlation coefficient, r, a dimensionless index that ranges from -1.0 to 1.0 inclusive and reflects the extent of a linear relationship between two data sets.

Syntax

PEARSON(array1,array2)

Array1 is a set of independent values.

Array2 is a set of dependent values.

Remarks

. The arguments must be either numbers or names, array constants, or references that contain numbers.

. If an array or reference argument contains text, logical values, or empty cells, those values are ignored; however, cells with the value zero are included.

. If array1 and array2 are empty or have a different number of data points, PEARSON returns the #N/A error value.

. The r value of the regression line is:

Example

PEARSON({9,7,5,3,1},{10,6,1,5,3}) equals 0.699379

CORREL

Returns the correlation coefficient of the array1 and array2 cell ranges. Use the correlation coefficient to determine the relationship between two properties. For example, you can examine the relationship between a location's average temperature and the use of air conditioners.

Syntax

CORREL(array1,array2)

Array1 is a cell range of values.

Array2 is a second cell range of values.

Remarks

. The arguments must be numbers, or names, arrays, or references that contain numbers.

. If an array or reference argument contains text, logical values, or empty cells, those values are ignored; however, cells with the value zero are included.

. If array1 and array2 have a different number of data points, CORREL returns the #N/A error value.

. If either array1 or array2 is empty, or if s (the standard deviation) of their values equals zero, CORREL returns the #DIV/0! error value.

. The equation for the correlation coefficient is:

Example

CORREL({3,2,4,5,6},{9,7,12,15,17}) equals 0.997054

## Fisiere in arhiva (1):

• Functii in Excel.doc