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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.
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Answer: C
. Supply of soybeans will increase and the supply of corn will decrease
Explanation:
Soybean fertilizer is an integral input in the farming of soybean so with the price of soybean fertilizer decreasing, it will be cheaper to grow soybean as opposed to corn.
Farmers will therefore farm more soybeans than corn to benefit from this lower cost and so will farm less of corn as they can only farm one at a time. This will lead to an increased supply of soybean and a reduced supply of corn.
Answer:
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