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Anonymous

1) Why do we use fit a trend-line to our data plots?

2) what is the most important relationship between parameters?

3) what is the difference between the Face Area vs Edge trend-line and the Volume vs Edge one?

4) what does the ${R}^{2}$${R}^{2}$ value tells us?

5) why do we use "Power Fit" for the Area vs Edge data and "Linear Fit" for the Hooke's Law experiment data?

6) Using the property of slop, how can we characterize the equilibrium state of a spring?

7) What information do we get from the y-intercept?

8) During the Hooke's Law experimenter, if gravity was all the sudden turned off, what two things would change?

9) why does the net force has to be zero for the Spring-Mass system to be at equilibrium? (Use the formula for Hooke's law and Newton's second Law)

Hello, I'm done, all areas are corrrectly answered as instructed. I have also included an originality report for the answer.

Running head: PHYSICS

1

Physics

Institution

Name

Date

PHYSICS

2

The fit lines are used in the data plot when utilized for predictive purposes or when

determining the general trend of data. Therefore, trend lines are a type of lines of best fit added on

graphs to show direction, behavior and interaction of data points that have been plotted (Hays,

2008).

The most crucial relationship between parameters is linear. It utilizes raw data in the

analysis. When using the linear relationship, there is always a relation between the cost function

and the parameters. Moreover, the residual for the best fit line is usually customarily distributed;

hence, the linear relationship is utilized when the residual point is big. The reason why the linear

relationship is the most important is that it retains information in intervals between values as

compared to the others (...

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