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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The vertices of the image reflected over the line y = x are: D´( 5 , 2 ), E´( 4, 6 ) and F´( 3, 3 ). So ( 2, -5 ) is incorrect and it could be incorrectly reflected across over the x-axis.
