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# Fishing Rods Internal Assessment

Extracts from this document...

Introduction

Fishing Rods

SL Type II

Henry Deng

143439

Block B

Leslie

An efficient fishing rod requires numerous guides for the line or else it will get tangled. Companies must find a strategic position for them or else the rod will become obsolete. As a result, a mathematical model can help companies predict where to place these line guides in order for a successful launch. Imagine customers launching a fishing rod that gets caught up before landing in the water! Not a very pleasant experience, is it? In this portfolio, I will be finding an appropriate model that can mathematically show the placement of line guides on a fishing rod. To do so, I will be using a given diagram, whereas: a fishing rod has an overall length of 230cm. The distances for each of the guides from the tip of the fishing rod is shown in a table on the back, but I will be copying it out, so one can refer to it while reading.

 Guide number (from tip) 1 2 3 4 5 6 7 8 Distance from tip (cm) 10 23 38 55 74 96 120 149

Ninth guide on the tip, (0,0)

Before beginning, I will be identifying any parameters or constraints in relation to the fishing rod. First of all, it is common sense that a negative number of guides cannot exist in reality, just like there cannot be negative numbers of apples, and as a result, negative distances are neglected. As a result, the graph must be limited to the first quadrant because the second, third, and fourth ones contain negative numbers which don't exist in a fishing rod.

Middle

Next, isolate the variables by multiplying with its inverse which will result in the identity matrix. What is done on one side will result in the other side, so the final equation will look like this: After that, matrix “A” turns into the identity matrix and the inverse of matrix “A” is used to multiply with matrix “B”. Using technology, the answer is: ∴ A = 1.21, B = 8.93, C = -0.143, rounded to three significant figures

Let's revisit the general quadratic equation and substitute these three values in.

The quadratic model of the guide placements of a fishing rod can be represented as: On the next page, there will be a comparison of the quadratic model with the data points.

For a cubic model, I will use the same methods except, use the general equation of a cubic equation: This time, 4 ordered pairs will be required and by using the same method as the previous model, I chose them in an interval of two (intervals of three does not work). The start guide is the first ordered pair, and then two up; the third guide, two up again; the fifth guide, and lastly, the end guide.

Substitution:

Equation 1: 10 = A (1) + B (1) + C (1) +D

Equation 2 : 38 = A (27) + B (9) + C (3) + D

Equation 3: 74 = A (125) + B (25) + C (5) + D

Equation 4: 149 = A (512) + B (64) + C (8) + D

Now, to represent these equations in matrix form: Using the same methods to isolate the unknown variables (A,B,C,D), I will multiply each side with the inverse of matrix “A”. Using technology, the answer is: ∴ A = 0.0571, B = 0.486, C = 11.3, D = -1.

Conclusion

th powered model is definitely the most accruate.

As stated above, both a quadratic and cubic model was solved by using matrix methods. Here's a comparison of the quadratic and cubic regression equations in relation to the model functions. Model Function – Quadratic Regression – Quadratic Model Function – Cubic Regression – Cubic

As one can see, these two equations do not differ greatly as expected because essentially, a regression is a best fit line which should be equivalent to a model that passes through most of the points. Of course, using technology would result in a more accurate answer, but the use of matrix methods is crucial if one does not have knowledge about regressions.

After exploring a fishing rod with eight guides, it would be interesting to guess where  would the placement of a ninth guide be (excluding the tip) and measure the effects of this phenomenon. By using my quadratic model, it's quite simple to find out where a ninth guide could possibly be. Since it's just a general idea, the use of complicated functions are not needed; thus, a quadratic model should be sufficient. As mentioned before, the variables: X is the distance from tip (cm) and g is the guide number (from tip). So, to find the ninth guide, all we need to do is substitute g with the number nine. , which ends up to around 178cm.

Therefore, if a ninth guide was to be added to the fishing rod, it would be located approximately 178cm from the tip (0,0). The effects of having this ninth guide would shorten the line and therefore, it may cause difficulty fishing as it can't reach the water.

This student written piece of work is one of many that can be found in our International Baccalaureate Maths section.

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