Use exponential regression to find an exponential function that best fits these data. Round all values to the hundredths. f(x)=
Use linear regression to find a linear function that best fits these data. Round all values to the hundredths. g(x)=
Transcribed Image Text:The educational material presents a table of data points with two columns labeled "x" and "y". The values are as follows:
- x: 1, 2, 3, 4, 5, 6
- y: 697, 740, 755, 710, 769, 723
The instructions require finding a mathematical function that fits these data points using both exponential and linear regression techniques.
1. **Exponential Regression**:
- Objective: Find an exponential function \( f(x) \) that best fits the data.
- Requirement: Round all results to the nearest hundredth.
- Placeholder is provided for \( f(x) = \) to enter the exponential equation.
2. **Linear Regression**:
- Objective: Determine a linear function \( g(x) \) that best fits the data.
- Requirement: Round all values to the nearest hundredth.
- Placeholder is provided for \( g(x) = \) to enter the linear equation.
3. **Comparison**:
- Question posed: Of the two equations (exponential or linear), which better fits the data?
- Options include a radio button selection for "Exponential" or "Linear", with "Linear" selected.
4. **Action**:
- A "Submit Question" button is available for user interaction.
This content is designed to teach the application of regression analysis for data fitting and to determine which model provides the best fit for a given set of data points.
Expression, rule, or law that gives the relationship between an independent variable and dependent variable. Some important types of functions are injective function, surjective function, polynomial function, and inverse function.
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