Warm Up
Today you will begin working on the final version of your project. You should have a question and at least 3 decent sources of data (you may end up focussing on one primary source).
First read the expectations for Part 3 and 4. Also take a look at the sample project that we will be evaluating together.
Next find and save (or write down) the data that you will be using in your project. Using the app "linear regression" practice inputing your "x" values and "y" values. Take a look at the resulting line and the resulting graph. You will need to take a screen shot of the graph to be used in your presentation as well as the equation of the line of "best fit". You will also need to put the equation in function notation form.
Please take a look at the assessment form to ensure that you have adequately completed and understood all mathematical descriptions of your results.
Finally begin your project. In the minimum it must include:
1. Title (with graphic)
2. Introduction - what is your question?, what is the background?, why is it important?
3. At least 3 graphs (two linear regressions and one combined)
4. An analysis of the data (and graphs) - see assessment form Part 3 Mathematics
5. Conclusion - what does the data say? what is the answer to your question? why is this important?
6. Sources - at least three "good" sites that you obtained your data from
Please note that you should be saving your project in "drop box" so other students can not tamper with it.
Wrap Up
During the class I will also go over lesson #4 and show you some examples of how to solve more challenging system problems. HW will be to complete the
Today you will begin working on the final version of your project. You should have a question and at least 3 decent sources of data (you may end up focussing on one primary source).
First read the expectations for Part 3 and 4. Also take a look at the sample project that we will be evaluating together.
Next find and save (or write down) the data that you will be using in your project. Using the app "linear regression" practice inputing your "x" values and "y" values. Take a look at the resulting line and the resulting graph. You will need to take a screen shot of the graph to be used in your presentation as well as the equation of the line of "best fit". You will also need to put the equation in function notation form.
Please take a look at the assessment form to ensure that you have adequately completed and understood all mathematical descriptions of your results.
Finally begin your project. In the minimum it must include:
1. Title (with graphic)
2. Introduction - what is your question?, what is the background?, why is it important?
3. At least 3 graphs (two linear regressions and one combined)
4. An analysis of the data (and graphs) - see assessment form Part 3 Mathematics
5. Conclusion - what does the data say? what is the answer to your question? why is this important?
6. Sources - at least three "good" sites that you obtained your data from
Please note that you should be saving your project in "drop box" so other students can not tamper with it.
Wrap Up
During the class I will also go over lesson #4 and show you some examples of how to solve more challenging system problems. HW will be to complete the