# quantitative reasoning i project presentation 2

The purpose of this assignment is to use the skills you have learned throughout the course. You will apply what you have learned to solve the real-world scenario that you selected in Week 2.

Create a 3- to 4-slide MicrosoftÂ® PowerPointÂ® 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.
• 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.

Do not worry about the stated times. Assume each slide can take about one minute to present. Make sure to include all the items that are required to be in the presentation in at least 4 slides (The instruction states 3-4 slides). Please follow the instructions for the assignment (except for the number of slides) and include the following as a minimum:

• One slide on your topic and scenario (use bullet points in the slides, include the following in the speaker notes)
• Introduce the topic and scenario you selected in Week 2.
• Explain why you are interested in the topic and scenario you chose.
• Two slides of your visuals (one for each visual, no descriptions on the slides, explain the following in the speaker notes)
• 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.