Math Problem Statement
The following table gives the millions of metric tons of carbon dioxide emissions in a certain country for selected years from 2010 and projected to 2032. Year 2010 2012 2014 2016 2018 2020 CO2 Emissions 338.5 361.5 399.1 422.8 452.1 498.4 Year 2022 2024 2026 2028 2030 2032 CO2 Emissions 559.2 590.9 629.7 663.1 703.1 742.7 (a) Create a linear function that models these data, with x as the number of years past 2010 and y as the millions of metric tons of carbon dioxide emissions. (Round all numerical values to two decimal places.) y(x) =
Incorrect: Your answer is incorrect.
(b) Find the model's estimate for the 2024 data point. (Round your answer to two decimal places.) 584.42
Incorrect: Your answer is incorrect. million metric tons
(c) Find the slope of the linear model. (Round your answer to two decimal places.) 19.76
Incorrect: Your answer is incorrect.
Interpret the slope of the linear model. For each year since 2010
Correct: Your answer is correct. , carbon dioxide emissions in the U.S. are expected to change by 19.76
Incorrect: Your answer is incorrect. million metric tons.
Solution
To solve this problem, we need to create a linear function that models the carbon dioxide emissions data. We'll proceed step-by-step to find the correct linear model, verify its accuracy, and answer the related questions.
(a) Create a Linear Function
Let's assume the linear function has the form:
where:
- represents the millions of metric tons of carbon dioxide emissions.
- is the number of years past 2010.
- is the slope (rate of change in emissions per year).
- is the y-intercept (emissions in 2010).
To find and , we'll use two points from the data. Let's use the first and the last points for simplicity:
- For the year 2010 (),
- For the year 2032 (),
Step 1: Calculate the Slope
The formula for the slope is:
Substitute the values:
Let's calculate the slope.The slope is approximately million metric tons per year.
Step 2: Calculate the y-intercept
Now, we use the slope and one of the points to find the y-intercept . Using the point for the year 2010 ():
Since , this simplifies to:
So, the y-intercept is .
Linear Function
Now, we have both the slope and the y-intercept, so the linear function that models the data is:
(b) Find the Model's Estimate for the 2024 Data Point
To estimate the data point for the year 2024, we find as the number of years past 2010:
Substitute into the linear model:
Let's calculate this value.It seems like I can’t do more advanced data analysis right now. Please try again later. However, I can guide you through the steps to find the answer manually.
To find the estimate for the year 2024 using the linear function:
-
Find for the year 2024:
-
Substitute into the linear model:
-
Calculate:
So, the estimated CO₂ emissions for 2024 are approximately 595.68 million metric tons.
Would you like to proceed with more questions or need further clarification? Here are some related questions to consider:
- What is the estimated CO₂ emission in 2030 using the same model?
- How would the linear model change if the emission data were revised?
- Can a non-linear model better fit the given data?
- What are the implications of a constant increase in CO₂ emissions for climate policy?
- How does this data compare to global CO₂ emission trends?
Tip: Understanding how to create and interpret linear models is essential for predicting future trends based on current data.
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Math Problem Analysis
Mathematical Concepts
Linear Functions
Slope-Intercept Form
Data Modeling
Formulas
y = mx + b (Linear function)
Slope formula: m = (y2 - y1) / (x2 - x1)
Theorems
-
Suitable Grade Level
Grades 10-12
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