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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Y = -3x + 6....the slope here is -3. A parallel line will have the same slope.
y = mx + b slope(m) = -3 (-4,7)....x = -4 and y = 7 now we sub into the formula and find b, the y int 7 = -3(-4) + b 7 = 12 + b 7 - 12 = b -5 = b so ur parallel equation is : y = -3x - 5 <==
