Galaxys Dance Studio Dansul Frunzelor – Complete

Draghiștenii Hora si sirba cu strigaturi. GurinelTV•49K views. YouTube·GurinelTV Galaxys Dance Studio Dansul frunzelor

They operate in various regions, including a notable presence in Hîncești as Galaxy's Dance Center . Galaxys Dance Studio Dansul frunzelor

The dance mimics the movement of falling autumn leaves, typically using music like "Dansul frunzelor" by Clopotelul Magic or other traditional Romanian children's songs. Draghiștenii Hora si sirba cu strigaturi

Performances by Galaxy's Dance Studio for this specific routine have garnered hundreds of thousands of views on YouTube , making it a go-to reference for teachers looking for choreography inspiration. About Galaxy's Dance Studio The dance mimics the movement of falling autumn

The studio is well-known in the Moldovan dance community and participates in events organized by the Moldovan Dance League .

It combines rhythmic steps with expressive arm movements, often incorporating props like colorful silk scarves or artificial leaves to enhance the visual of a "carpet of leaves".

While "Dansul Frunzelor" is a hit for their younger students, the studio also teaches contemporary, high heels, and traditional folk dances like Hora cu noroc . Where to Watch

As with birth rates, we use data for 4 categories of countries from 1990 to 2015 (100 observations total). We have two explanatory variables, AGE and Y, where AGE is defined as the percentage of the population aged over 65 and Y is per capita GDP.

After eyeballing the scattergrams, we test the following functional form:

d = (minY^a)/Y^a * (1/AGE^g)

Where minY is the constant equal to the smallest value of Y in the series.

Logarithmic transformation gives:

ln(d) = ln(minY^a) – a*ln(Y) – g*ln(AGE)

which we test on the data using OLS. Here are the results:

Adjusted R square: 75.191

Intercept coefficient: 7.37384
t-Stat: 20.4011

Y coefficient: -1.01444
t-Stat: -13.1059

AGE coefficient: 2.0097
t-Stat: 11.5208

The estimated intercept is a good, but not perfect, approximation of ln(minY^a)

Here are the fitted against actual values of the scattergram for death rate against per capita GDP:

While the results are not as good as with the birth rates calculations, it is nevertheless a good enough fit and the explanatory variables have a strong enough confidence factor to be usable in our estimations.

We begin by examining the scatter of data for 100 observations of per capita GDP and per capita emissions for 4 categories of countries, over 25 years (1990 – 2015).

The scatter suggests a cubic functional form, so we test:

GHG = a + b*Y + c*Y^2 + d*Y^3

where GHG are per capita emissions of GHG, and Y is per capita GDP.

The results from OLS regression are:

Adjusted R square: 0.980438073

coefficient a: 1090
t-stat a: 3.06

coefficient b: 0.709310153
t-Stat b: 8.241453

coefficient c: -0.0000047025
t-Stat c: -1.01233

coefficient d: -0.000000000105314
t-Stat d: -1.47005

While the t-scores on the squared and cubed terms are low, the number of observations are also limited.

Here is the plot of the fitted against actual values: