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Lockor NumbuKnm4Experlment 2 Preparing Graphs balancu The nMk anreport SHEET (conlnued):weighed savoral bunche exercise Gudcnt ~studont's data: all &ke ...

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Lockor NumbuKnm4Experlment 2 Preparing Graphs balancu The nMk anreport SHEET (conlnued):weighed savoral bunche exercise Gudcnt ~studont's data: all &ke gamne Si20. emtl Enni uijatDuFH 1 208 on thet pruph Papor: Usc "number Frapare plot these data on tha gid balow bc810 andl [0b81 thc axes correctly: the indopandcnt variable certila nails" Scalu thu axe; starting tha Grun;

lockor Numbu Knm4 Experlment 2 Preparing Graphs balancu The nMk an report SHEET (conlnued): weighed savoral bunche exercise Gudcnt ~studont's data: all &ke gamne Si20. emtl Enni uijat DuFH 1 208 on thet pruph Papor: Usc "number Frapare plot these data on tha gid balow bc810 andl [0b81 thc axes correctly: the indopandcnt variable certila nails" Scalu thu axe; starting tha Grun;



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Sketch a scatter plot and a line graph of the given data. The table shows sales of personal digital video recorders.* Let $x=0$ correspond to $2000,$ and measure $y$ in thousands. $$\begin{array}{|c|c|}\hline \text { Year } & \text { Number Sold } \\\hline 2000 & 257,000 \\\hline 2001 & 129,000 \\ \hline 2002 & 143,000 \\\hline 2003 & 214,000 \\\hline 2004 & 315,000 \\\hline 2005 & 485,000 \\\hline \end{array}$$

A problem. 29 from the scatter plot. We indicate that the better in the scatter plots slope upward, which indicators the hourly wage increases the number of hours.

So Alison, our good and left on this question This is all about construction. Excretory. Plot the heart in order. Be accused the years of experience x 15 cells represented a month. Lessels. Why? So the X and white to the X axis? Why excess? So we're going to a skater. We don't flood the points on the coordinate plain. So the X axis writing the era of experience on the monthly sales on the Y Axis battalions and dollars two. Dissident is getting a lot of the doctor and be, Let's see, the be part daddy that listens to between X and Y appear toe approximately linear. So answer. It s some some places, Uh, some blesses some placements. Some years, yes. Sometimes it appear linear, but not everywhere. The one thing is clear. It's a positive correlation at X is increasing the white elsewhere in the region

Problem. 22. The vertical value between the stem and the leaves, which is the stem off one too 34 and five, which is believe is 466 67 00011 on one three and 344 and four six on seventh and nine for three is 01111 223444555 788 and nine. Four is 268 and nine and 52 and five. So the key is one and four, which is equal to 14. So the distribution excuse throughout the right. Because most of the data very like near the top off the graph, most of the data various appeared live between 20 and 39. As most data values of care at stem two and three, there do not appear to be any unusual data values our flyers, as there are no gaps in the similarly

Hi. Welcome to my solution to this question. Okay, so we've been given our this sub data some X values with the corresponding f of X values on, we need to work out a sketch. Plots determine whether it best fits a linear exponential or local rhythmic model. Okay, so what I did is I went along and put the data index cell, um, and then generated a scatter plot, which looked a little bit like this. Um, so we're just gonna jump straight into it on, see whether our scouts got best fits our, um, which model? Okay, so the first option is a linear model. Many models tend to be in the four f ethical ex is people thio a X clocks being on. If we were to graft that it would look, um, something along the lines of a straight line so we could just draw any straight line. Really? Could be This could be this. It could be less so when you get the idea. So is essentially a straight line. If we try on best that power points in this catapult to a straight line, it would look something like this. Now, majority of the points went through the straight line, but then a few didn't quite get it. And you got to remember my free hand straight line isn't gonna meet as accurate. So there is actually gonna be less points tonight on here as being in there. So it could be right. But there is this little bit of a curve going on. If I just get rid of this, you can see this little bit of a car going or not paying. I'm to suggest perhaps that may be linear is not the best fit for this. So let's keep going. Um, see, what else might suit this graph A case of exponential Exponential functions are often poor. Fo X is called thio Age E k. Times X Now a que can either be positive or negative. If K is positive, it will look a little something like this. That's where will it like graphically on? If K is negative, it will look a little something like this. OK, so don't over of these fits our scatter plot. So let's drawn when Okay is positive. We will look something like this. There's no way we can get these points here to fit any sort of line. That's kind of the same. Is that so? Case positive is out of the question. And what about a negative K to be something like this that is nowhere near the same as our scouts plot? So exponential is almost definitely not the right model for this on them. Let's look a log arrhythmic So log rhythmic is usually off. The battle ax was equal to a log off P X on dhe. If we was graph it, it would look something like this on If we were to try and put this into our Andi Scott's plot, it would look something like this know that almost fits the cuff perfectly of this cat's part because, as you can see, the points fit this trend off upwards curve going from here, we don't have the data to extrapolated or past or interpolated past excess for But we might, uh, we could imagine that maybe that would be a decrease good down like this. And it doesn't look like it is slowly tended towards some sort of how you on the, um Why axes? So, yeah, I think a log arrhythmic is most probably the best model to fit our data.


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