Welcome to CXTvIt is headquartered in Maputo. Sexy Hot is a adult Brazilian television channel, it is the first channel with adult content erotic and sex explicit of TV Brazil Brasileirinhas is a Brazilian pornographic film studio. Despite most of its RTP1 has a variety of p It is broadcast in the Madei Commonly referred as th Portuguese Public Broadcaster. You have been denied access to this TV Channel. If you feel this is an error, please delete your browser cookies and reload the page. TV Miramar Live Like? Sorry, your current browser does not support inline framing iframes. Hide Embed-Code. TV Miramar is a nationwide television station in Mozambique, located in Maputo. Show more Show less. You may also like. TVM 1 Live 3 years ago TVM 2 Live 3 years ago Sexy Hot TV Live 4 years ago 1. Brasileirinhas Live 4 years ago RTP Africa Live 4 years ago RTP Acores Live 4 years ago RTP 3 Live 4 years ago RTP 1 Live 4 years ago RTP Madeira Live 4 years ago RTP 2 Live 4 years ago RTP Memoria Live 4 years ago RTP international Live 4 years ago Channel Stats.
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Gilberto and Patricia, Iceland Iceland Full Circle - Winter, December 2015 We love all the support material, maps, guides, etc, the best that we ever saw. We would like to say thank you very much for all in Nordic Visitor. Iceland and his people are incredible. Steven, United States Winter Romance, November 2015 The little hand written notes regarding fun points of interest (good ice cream, hidden waterfalls, etc) was a perfect touch that gave us insight of where to go and truly realize how great a place Iceland was.
Christopher and Sonya, United States Northern Lights City Break, November 2015 Everything was fine. Kong, Singapore Northern Lights Circle Tour, October 2015 Overall, I really have a great experience for this tour. The tour guide, Trausti (hope never spell wrongly) is a great guide and very knowledgeable.
He also show his professionalism when chasing the Northern Lights till the last night of the tour (Last night of the tour he still bring us to see Northern Lights) This is a fantastic and great tour. Jesko and Jana, Germany Iceland Full Circle - Winter, October 2015 Thank you very much for our customized adventure and fullfilling every need and wishes. We expected much, but got more.
Lisa, Australia Nordic Odyssey, September 2015 We have just finished our Nordic Odyssey tour of 4 Scandinavian countries via: Helsinki, Stockholm, Copenhagen, Oslo, Flam and Bergen.
Rick, United States South Iceland at Leisure, September 2015 Nordic Visitor set up a tremendous self-drive tour for us. Jno, United Kingdom Iceland Grand Tour, September 2015 Nordic Visitor arranged a Grand Tour of Iceland for us (a couple about 60) over 17 days in late May and early June of 2012.
Aneta, Canada Iceland Full Circle, September 2015 Thank you so much for the great trip with everything working so smoothly. Rick, United States South Iceland at Leisure, September 2015 Arnar Thor was VERY helpful and patient. Tim, United States Iceland Complete, September 2015 This was easier to do than I anticipated. Gary and Andrew, United Kingdom Iceland Full Circle, September 2015 In general, my experience with Nordic Visitor and the trip they provided for me was exceptional.
Henry, United Kingdom Scenic Fjords of Norway, September 2015 Overall I had a really fantastic time. Sara kept me informed, sent everything through in good time, and made sure I had received what I needed.
Bergen was the highlight of my trip. Thank you for making my first visit to Norway so effortless and memorable. Our reason for coming to Europe was to see the U2 concert in Stockholm, Sweden and visiting Norway for a week, prior to the concert, was an afterthought. We thought it might be nice to visit Norway since we would be near for the concert.
What we got instead of a quick tour of a neighboring country was the best vacation I have ever experienced. Bjarni made everything perfect. There was no rushing for trains, boats or busses. Everything was perfectly timed so that we did not feel like we had to hurym but we did not have to wait long periods of time to get to our next destination.
The hotels and staff were excellent.
A value of 0. The most widely-used type of correlation coefficient is Pearson r, also called linear or product- moment correlation. Simple Linear Correlation (Pearson r). Pearson correlation (hereafter called correlation), assumes that the two variables are measured on at least interval scales (see Elementary Concepts), and it determines the extent to which values of the two variables are "proportional" to each other.
The value of correlation (i. This line is called the regression line or least squares line, because it is determined such that the sum of the squared distances of all the data points from the line is the lowest possible. How to Interpret the Values of Correlations. As mentioned before, the correlation coefficient (r) represents the linear relationship between two variables.
If the correlation coefficient is squared, then the resulting value (r2, the coefficient of determination) will represent the proportion of common variation in the two variables (i. In order to evaluate the correlation between variables, it is important to know this "magnitude" or "strength" as well as the significance of the correlation.
The significance level calculated for each correlation is a primary source of information about the reliability of the correlation. As explained before (see Elementary Concepts), the significance of a correlation coefficient of a particular magnitude will change depending on the size of the sample from which it was computed.
The test of significance is based on the assumption that the distribution of the residual values (i. However, Monte Carlo studies suggest that meeting those assumptions closely is not absolutely crucial if your sample size is not very small and when the departure from normality is not very large. It is impossible to formulate precise recommendations based on those Monte- Carlo results, but many researchers follow a rule of thumb that if your sample size is 50 or more then serious biases are unlikely, and if your sample size is over 100 then you should not be concerned at all with the normality assumptions.
Outliers are atypical (by definition), infrequent observations. Because of the way in which the regression line is determined (especially the fact that it is based on minimizing not the sum of simple distances but the sum of squares of distances of data points from the line), outliers have a profound influence on the slope of the regression line and consequently on the value of the correlation coefficient.
A single outlier is capable of considerably changing the slope of the regression line and, consequently, the value of the correlation, as demonstrated in the following example. Note, that as shown on that illustration, just one outlier can be entirely responsible for a high value of the correlation that otherwise (without the outlier) would be close to zero.
Needless to say, one should never base important conclusions on the value of the correlation coefficient alone (i. Note that if the sample size is relatively small, then including or excluding specific data points that are not as clearly "outliers" as the one shown in the previous example may have a profound influence on the regression line (and the correlation coefficient).
Typically, we believe that outliers represent a random error that we would like to be able to control. Unfortunately, there is no widely accepted method to remove outliers automatically (however, see the next paragraph), thus what we are left with is to identify any outliers by examining a scatterplot of each important correlation. Needless to say, outliers may not only artificially increase the value of a correlation coefficient, but they can also decrease the value of a "legitimate" correlation.
See also Confidence Ellipse. Quantitative Approach to Outliers. Some researchers use quantitative methods to exclude outliers. In some areas of research, such "cleaning" of the data is absolutely necessary. For example, in cognitive psychology research on reaction times, even if almost all scores in an experiment are in the range of 300-700 milliseconds, just a few "distracted reactions" of 10-15 seconds will completely change the overall picture.