Maybe it not meant to be or it complicated
The answer is T. The statement is true.
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.
Answer:
It reduces strength.
Explanation:
It not desirable to produce concrete mixtures of a higher consistency than normal because the strength of the concrete decreases. Consistency plays an important role in the determination of strength of concrete. Less water than normal quantity in concrete increases the consistency but decreases strength due to incomplete chemical reaction while on the other hand, adding more water would increase water-cement ratio and reduces consistency as well as strength of the concrete so that's why necessary amount of water and cement should be added to get higher strength.
