![]() This may be via the telephone, Email, mail, fax or directly through our website. ![]() In order to use the Using Technology Better website, we may require information from you in order to provide the best service possible.Īll correspondence may also be collected and stored, particularly in regard to sales, support and accounts, including Email.Īny information collected by Using Technology Better is collected via correspondence from you or your company. If you have questions or concerns regarding this statement, you should first contact the support team on our Contact Us Page. This policy will be continuously assessed against new technologies, business practices and our customers’ needs. The following privacy policy applies to all Using Technology Better users, and conforms to Internet privacy standards. Using Technology Better regards customer privacy as an important part of our relationship with our customers. We hold the privacy of your personal information in the highest regard. Using Technology Better Privacy Commitment When we put data like this into a table and draw a scatterplot in Sheets, we would get a scatterplot that looks like this. A perfect correlation is 1 and this can be represented by r2. The stronger the relationship between the two variables the stronger the correlation is. If we collected the data and put it in a table we would have two variables and be able to draw a scatterplot of time versus temperature. If we heat the pot for a longer period, the hotter the water will become. If we put a pot of water on some heat and measure the temperature at certain times, we would get two pieces of data that are related to each other. Here’s a helpful metaphor to illustrate how a scatterplot works. If scatterplots are a foreign concept or how to find the strength of the relationship between data, read on. Making a scatterplot and finding the line of best fit or trendline was a piece of cake in Excel, but I could never do it in Google Sheets until I found a way to build a meaningful scatterplot, put in a trendline and find the correlation coefficient within a couple of clicks. As a maths teacher, I always liked collecting data and finding the strength of the relationship between the data.
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