Determine whether the linear or the exponential model is a better representation of your data to base your prediction on. Explain why the model you chose is a better representation of your data.

Quantitative Reasoning I Project: PresentationPlease note I need a math person with excel base knowledge for this assignment.The attached excel sheet will be required for this presentation…Excel Instructions:
Create at least two visuals using your data from the BUSINESS data.

Create one scatter plot of the data, and apply a linear model (also known as a regression) in Excel. Include the equation, R2 value, and prediction value on the visual.
Create one scatter plot of the data, and apply an exponential model in Excel. Include the equation, R2 value, and prediction value on the visual.

Hints for Making an Effective Chart:Decide why you are making a chart from this data.
Title each chart so that it aligns with the data and selected model.
Create descriptive labels for both the x- and y axes.
Resize the chart as needed so it can be viewed easily.
PowerPoint instructions
Create a 3- to 4-slide Microsoft PowerPoint presentation including:One slide on your topic and scenario (approximately 1 minute)
Introduce the topic and scenario you selected in Week 2.
Explain why you are interested in the topic and scenario you chose.
One to two slides of your visuals (approximately 2 to 3 minutes)
These should be clear, neat, organized, and labeled from Week 4.
Explain why either the linear model or the exponential model is better for predicting future results. In your explanation, include the significance of the R2 value and how the R2 value influenced the model you chose.
Explain how your visuals support your conclusion.
One slide for a conclusion (approximately 1 minute)
Restate your topic and scenario and give your findings for the scenario.
Discuss how your topic and scenario relates to a real-world scenario.
Discuss what you learned from this project.
Include detailed speaker notes for each slide.

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