Data plays a crucial role in decision-making because it can reveal relationships between different quantities. We often use line
ar equations to model this relationships and make predictions about the data. Think about a situation when you needed to analyze data. What types of trends did you find in the data? How did noticing the trends help you make a decision related to the situation?
A situation when I needed to analyze data was when I was researching the different prices for ( Input your own thing ) . The type of trend I found in the data was different prices across all websites. I noticed most of the prices are close but some were crazy. I found that the prices resembled a scatter plop. There was a strong ( weak ) positive ( negative ) correlation of 89.667 ( Anything number ). Noticing the trends helped me make a decision related to the situation by allowing me to make the best choice "price-wise" for the NVIDIA GeForce RTX 3090 Graphics card ( enter the same thing you put above ) .
Step-by-step explanation:
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It will rewrite and check this for plagiarism and you won't get in trouble for plagiarism. Make sure you use your own situation in the ( ) and take out my answers.
(2/5) of (2/3) of students = 4/15 of students study French. Then 1-(4/15) = 11/15 of students do not study French. The ratio you want is (4/15):(11/15) = 4:11
