As you can see both drawings take up the same amount of surface area and the same amount of surface area is colored. The one on the right has 12 spaces, while the one on the left only has 3.
C.Growth (learning about this too !!)
Explanation:
Some countries that were originally on the list of developing countries such as China, Brazil, India are now considered as developed countries, including Indonesia and South Africa
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Historians have labeled the years from 1870-1914 as the period of the Second Industrial Revolution. While the First Industrial Revolution caused the growth of industries, such as coal, iron, railroads and textiles, the Second Industrial Revolution witnessed the expansion of electricity, petroleum and steel.
Answer: There is a weak, positive correlation between the weight Lucy lost and the number of weeks.
Explanation:
The correlation coefficient is used to measure the relationship between two variables in terms of how they move in relation to one another.
If two variables are said to have a positive correlation, it means that they increase at the same time and decrease at the same time for example, there is a positive correlation between the amount of food a family buys and how much money they have because the more money they have, the more food they buy.
Negative correlations are the reverse for instance Ice cream sales and cold temperatures. The colder it is, the less people buy ice cream.
The Correlation coefficient ranges from -1 to +1 with +1 (-1) meaning that the variables are perfectly positively(negatively) correlated. The closer the value is to 0, the weaker the correlation.
Generally, for a correlation coefficient between the numbers 0 and +0.3, there is a weak positive correlation.
With a correlation coefficient of 0.0502, there is therefore a weak, positive correlation between the weight Lucy lost and the number of weeks.